how to write findings for qualitative research

How To Write The Results/Findings Chapter

For qualitative studies (dissertations & theses).

By: Jenna Crossley (PhD). Expert Reviewed By: Dr. Eunice Rautenbach | August 2021

So, you’ve collected and analysed your qualitative data, and it’s time to write up your results chapter. But where do you start? In this post, we’ll guide you through the qualitative results chapter (also called the findings chapter), step by step. 

Overview: Qualitative Results Chapter

• What (exactly) the qualitative results chapter is
• What to include in your results chapter
• How to write up your results chapter
• A few tips and tricks to help you along the way
• Free results chapter template

What exactly is the results chapter?

The results chapter in a dissertation or thesis (or any formal academic research piece) is where you objectively and neutrally present the findings of your qualitative analysis (or analyses if you used multiple qualitative analysis methods ). This chapter can sometimes be combined with the discussion chapter (where you interpret the data and discuss its meaning), depending on your university’s preference.  We’ll treat the two chapters as separate, as that’s the most common approach.

In contrast to a quantitative results chapter that presents numbers and statistics, a qualitative results chapter presents data primarily in the form of words . But this doesn’t mean that a qualitative study can’t have quantitative elements – you could, for example, present the number of times a theme or topic pops up in your data, depending on the analysis method(s) you adopt.

Adding a quantitative element to your study can add some rigour, which strengthens your results by providing more evidence for your claims. This is particularly common when using qualitative content analysis. Keep in mind though that qualitative research aims to achieve depth, richness and identify nuances , so don’t get tunnel vision by focusing on the numbers. They’re just cream on top in a qualitative analysis.

So, to recap, the results chapter is where you objectively present the findings of your analysis, without interpreting them (you’ll save that for the discussion chapter). With that out the way, let’s take a look at what you should include in your results chapter.

What should you include in the results chapter?

As we’ve mentioned, your qualitative results chapter should purely present and describe your results , not interpret them in relation to the existing literature or your research questions . Any speculations or discussion about the implications of your findings should be reserved for your discussion chapter.

In your results chapter, you’ll want to talk about your analysis findings and whether or not they support your hypotheses (if you have any). Naturally, the exact contents of your results chapter will depend on which qualitative analysis method (or methods) you use. For example, if you were to use thematic analysis, you’d detail the themes identified in your analysis, using extracts from the transcripts or text to support your claims.

While you do need to present your analysis findings in some detail, you should avoid dumping large amounts of raw data in this chapter. Instead, focus on presenting the key findings and using a handful of select quotes or text extracts to support each finding . The reams of data and analysis can be relegated to your appendices.

While it’s tempting to include every last detail you found in your qualitative analysis, it is important to make sure that you report only that which is relevant to your research aims, objectives and research questions .  Always keep these three components, as well as your hypotheses (if you have any) front of mind when writing the chapter and use them as a filter to decide what’s relevant and what’s not.

Need a helping hand?

How do I write the results chapter?

Now that we’ve covered the basics, it’s time to look at how to structure your chapter. Broadly speaking, the results chapter needs to contain three core components – the introduction, the body and the concluding summary. Let’s take a look at each of these.

Section 1: Introduction

The first step is to craft a brief introduction to the chapter. This intro is vital as it provides some context for your findings. In your introduction, you should begin by reiterating your problem statement and research questions and highlight the purpose of your research . Make sure that you spell this out for the reader so that the rest of your chapter is well contextualised.

The next step is to briefly outline the structure of your results chapter. In other words, explain what’s included in the chapter and what the reader can expect. In the results chapter, you want to tell a story that is coherent, flows logically, and is easy to follow , so make sure that you plan your structure out well and convey that structure (at a high level), so that your reader is well oriented.

The introduction section shouldn’t be lengthy. Two or three short paragraphs should be more than adequate. It is merely an introduction and overview, not a summary of the chapter.

Pro Tip – To help you structure your chapter, it can be useful to set up an initial draft with (sub)section headings so that you’re able to easily (re)arrange parts of your chapter. This will also help your reader to follow your results and give your chapter some coherence.  Be sure to use level-based heading styles (e.g. Heading 1, 2, 3 styles) to help the reader differentiate between levels visually. You can find these options in Word (example below).

Section 2: Body

Before we get started on what to include in the body of your chapter, it’s vital to remember that a results section should be completely objective and descriptive, not interpretive . So, be careful not to use words such as, “suggests” or “implies”, as these usually accompany some form of interpretation – that’s reserved for your discussion chapter.

The structure of your body section is very important , so make sure that you plan it out well. When planning out your qualitative results chapter, create sections and subsections so that you can maintain the flow of the story you’re trying to tell. Be sure to systematically and consistently describe each portion of results. Try to adopt a standardised structure for each portion so that you achieve a high level of consistency throughout the chapter.

For qualitative studies, results chapters tend to be structured according to themes , which makes it easier for readers to follow. However, keep in mind that not all results chapters have to be structured in this manner. For example, if you’re conducting a longitudinal study, you may want to structure your chapter chronologically. Similarly, you might structure this chapter based on your theoretical framework . The exact structure of your chapter will depend on the nature of your study , especially your research questions.

As you work through the body of your chapter, make sure that you use quotes to substantiate every one of your claims . You can present these quotes in italics to differentiate them from your own words. A general rule of thumb is to use at least two pieces of evidence per claim, and these should be linked directly to your data. Also, remember that you need to include all relevant results , not just the ones that support your assumptions or initial leanings.

In addition to including quotes, you can also link your claims to the data by using appendices , which you should reference throughout your text. When you reference, make sure that you include both the name/number of the appendix , as well as the line(s) from which you drew your data.

As referencing styles can vary greatly, be sure to look up the appendix referencing conventions of your university’s prescribed style (e.g. APA , Harvard, etc) and keep this consistent throughout your chapter.

Section 3: Concluding summary

The concluding summary is very important because it summarises your key findings and lays the foundation for the discussion chapter . Keep in mind that some readers may skip directly to this section (from the introduction section), so make sure that it can be read and understood well in isolation.

In this section, you need to remind the reader of the key findings. That is, the results that directly relate to your research questions and that you will build upon in your discussion chapter. Remember, your reader has digested a lot of information in this chapter, so you need to use this section to remind them of the most important takeaways.

Importantly, the concluding summary should not present any new information and should only describe what you’ve already presented in your chapter. Keep it concise – you’re not summarising the whole chapter, just the essentials.

Tips for writing an A-grade results chapter

Now that you’ve got a clear picture of what the qualitative results chapter is all about, here are some quick tips and reminders to help you craft a high-quality chapter:

• Your results chapter should be written in the past tense . You’ve done the work already, so you want to tell the reader what you found , not what you are currently finding .
• Make sure that you review your work multiple times and check that every claim is adequately backed up by evidence . Aim for at least two examples per claim, and make use of an appendix to reference these.
• When writing up your results, make sure that you stick to only what is relevant . Don’t waste time on data that are not relevant to your research objectives and research questions.
• Use headings and subheadings to create an intuitive, easy to follow piece of writing. Make use of Microsoft Word’s “heading styles” and be sure to use them consistently.
• When referring to numerical data, tables and figures can provide a useful visual aid. When using these, make sure that they can be read and understood independent of your body text (i.e. that they can stand-alone). To this end, use clear, concise labels for each of your tables or figures and make use of colours to code indicate differences or hierarchy.
• Similarly, when you’re writing up your chapter, it can be useful to highlight topics and themes in different colours . This can help you to differentiate between your data if you get a bit overwhelmed and will also help you to ensure that your results flow logically and coherently.

If you have any questions, leave a comment below and we’ll do our best to help. If you’d like 1-on-1 help with your results chapter (or any chapter of your dissertation or thesis), check out our private dissertation coaching service here or book a free initial consultation to discuss how we can help you.

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23 Comments

This was extremely helpful. Thanks a lot guys

Hi, thanks for the great research support platform created by the gradcoach team!

I wanted to ask- While “suggests” or “implies” are interpretive terms, what terms could we use for the results chapter? Could you share some examples of descriptive terms?

I think that instead of saying, ‘The data suggested, or The data implied,’ you can say, ‘The Data showed or revealed, or illustrated or outlined’…If interview data, you may say Jane Doe illuminated or elaborated, or Jane Doe described… or Jane Doe expressed or stated.

I found this article very useful. Thank you very much for the outstanding work you are doing.

What if i have 3 different interviewees answering the same interview questions? Should i then present the results in form of the table with the division on the 3 perspectives or rather give a results in form of the text and highlight who said what?

I think this tabular representation of results is a great idea. I am doing it too along with the text. Thanks

That was helpful was struggling to separate the discussion from the findings

this was very useful, Thank you.

Very helpful, I am confident to write my results chapter now.

It is so helpful! It is a good job. Thank you very much!

Very useful, well explained. Many thanks.

Hello, I appreciate the way you provided a supportive comments about qualitative results presenting tips

I loved this! It explains everything needed, and it has helped me better organize my thoughts. What words should I not use while writing my results section, other than subjective ones.

Thanks a lot, it is really helpful

Thank you so much dear, i really appropriate your nice explanations about this.

Thank you so much for this! I was wondering if anyone could help with how to prproperly integrate quotations (Excerpts) from interviews in the finding chapter in a qualitative research. Please GradCoach, address this issue and provide examples.

what if I’m not doing any interviews myself and all the information is coming from case studies that have already done the research.

Very helpful thank you.

This was very helpful as I was wondering how to structure this part of my dissertation, to include the quotes… Thanks for this explanation

This is very helpful, thanks! I am required to write up my results chapters with the discussion in each of them – any tips and tricks for this strategy?

For qualitative studies, can the findings be structured according to the Research questions? Thank you.

Do I need to include literature/references in my findings chapter?

This was very helpful

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Home » Research Findings – Types Examples and Writing Guide

Research Findings – Types Examples and Writing Guide

Table of Contents

Research Findings

Definition:

Research findings refer to the results obtained from a study or investigation conducted through a systematic and scientific approach. These findings are the outcomes of the data analysis, interpretation, and evaluation carried out during the research process.

Types of Research Findings

There are two main types of research findings:

Qualitative Findings

Qualitative research is an exploratory research method used to understand the complexities of human behavior and experiences. Qualitative findings are non-numerical and descriptive data that describe the meaning and interpretation of the data collected. Examples of qualitative findings include quotes from participants, themes that emerge from the data, and descriptions of experiences and phenomena.

Quantitative Findings

Quantitative research is a research method that uses numerical data and statistical analysis to measure and quantify a phenomenon or behavior. Quantitative findings include numerical data such as mean, median, and mode, as well as statistical analyses such as t-tests, ANOVA, and regression analysis. These findings are often presented in tables, graphs, or charts.

Both qualitative and quantitative findings are important in research and can provide different insights into a research question or problem. Combining both types of findings can provide a more comprehensive understanding of a phenomenon and improve the validity and reliability of research results.

Parts of Research Findings

Research findings typically consist of several parts, including:

• Introduction: This section provides an overview of the research topic and the purpose of the study.
• Literature Review: This section summarizes previous research studies and findings that are relevant to the current study.
• Methodology : This section describes the research design, methods, and procedures used in the study, including details on the sample, data collection, and data analysis.
• Results : This section presents the findings of the study, including statistical analyses and data visualizations.
• Discussion : This section interprets the results and explains what they mean in relation to the research question(s) and hypotheses. It may also compare and contrast the current findings with previous research studies and explore any implications or limitations of the study.
• Conclusion : This section provides a summary of the key findings and the main conclusions of the study.
• Recommendations: This section suggests areas for further research and potential applications or implications of the study’s findings.

How to Write Research Findings

Writing research findings requires careful planning and attention to detail. Here are some general steps to follow when writing research findings:

• Organize your findings: Before you begin writing, it’s essential to organize your findings logically. Consider creating an outline or a flowchart that outlines the main points you want to make and how they relate to one another.
• Use clear and concise language : When presenting your findings, be sure to use clear and concise language that is easy to understand. Avoid using jargon or technical terms unless they are necessary to convey your meaning.
• Use visual aids : Visual aids such as tables, charts, and graphs can be helpful in presenting your findings. Be sure to label and title your visual aids clearly, and make sure they are easy to read.
• Use headings and subheadings: Using headings and subheadings can help organize your findings and make them easier to read. Make sure your headings and subheadings are clear and descriptive.
• Interpret your findings : When presenting your findings, it’s important to provide some interpretation of what the results mean. This can include discussing how your findings relate to the existing literature, identifying any limitations of your study, and suggesting areas for future research.
• Be precise and accurate : When presenting your findings, be sure to use precise and accurate language. Avoid making generalizations or overstatements and be careful not to misrepresent your data.
• Edit and revise: Once you have written your research findings, be sure to edit and revise them carefully. Check for grammar and spelling errors, make sure your formatting is consistent, and ensure that your writing is clear and concise.

Research Findings Example

Following is a Research Findings Example sample for students:

Title: The Effects of Exercise on Mental Health

Sample : 500 participants, both men and women, between the ages of 18-45.

Methodology : Participants were divided into two groups. The first group engaged in 30 minutes of moderate intensity exercise five times a week for eight weeks. The second group did not exercise during the study period. Participants in both groups completed a questionnaire that assessed their mental health before and after the study period.

Findings : The group that engaged in regular exercise reported a significant improvement in mental health compared to the control group. Specifically, they reported lower levels of anxiety and depression, improved mood, and increased self-esteem.

Conclusion : Regular exercise can have a positive impact on mental health and may be an effective intervention for individuals experiencing symptoms of anxiety or depression.

Applications of Research Findings

Research findings can be applied in various fields to improve processes, products, services, and outcomes. Here are some examples:

• Healthcare : Research findings in medicine and healthcare can be applied to improve patient outcomes, reduce morbidity and mortality rates, and develop new treatments for various diseases.
• Education : Research findings in education can be used to develop effective teaching methods, improve learning outcomes, and design new educational programs.
• Technology : Research findings in technology can be applied to develop new products, improve existing products, and enhance user experiences.
• Business : Research findings in business can be applied to develop new strategies, improve operations, and increase profitability.
• Public Policy: Research findings can be used to inform public policy decisions on issues such as environmental protection, social welfare, and economic development.
• Social Sciences: Research findings in social sciences can be used to improve understanding of human behavior and social phenomena, inform public policy decisions, and develop interventions to address social issues.
• Agriculture: Research findings in agriculture can be applied to improve crop yields, develop new farming techniques, and enhance food security.
• Sports : Research findings in sports can be applied to improve athlete performance, reduce injuries, and develop new training programs.

When to use Research Findings

Research findings can be used in a variety of situations, depending on the context and the purpose. Here are some examples of when research findings may be useful:

• Decision-making : Research findings can be used to inform decisions in various fields, such as business, education, healthcare, and public policy. For example, a business may use market research findings to make decisions about new product development or marketing strategies.
• Problem-solving : Research findings can be used to solve problems or challenges in various fields, such as healthcare, engineering, and social sciences. For example, medical researchers may use findings from clinical trials to develop new treatments for diseases.
• Policy development : Research findings can be used to inform the development of policies in various fields, such as environmental protection, social welfare, and economic development. For example, policymakers may use research findings to develop policies aimed at reducing greenhouse gas emissions.
• Program evaluation: Research findings can be used to evaluate the effectiveness of programs or interventions in various fields, such as education, healthcare, and social services. For example, educational researchers may use findings from evaluations of educational programs to improve teaching and learning outcomes.
• Innovation: Research findings can be used to inspire or guide innovation in various fields, such as technology and engineering. For example, engineers may use research findings on materials science to develop new and innovative products.

Purpose of Research Findings

The purpose of research findings is to contribute to the knowledge and understanding of a particular topic or issue. Research findings are the result of a systematic and rigorous investigation of a research question or hypothesis, using appropriate research methods and techniques.

The main purposes of research findings are:

• To generate new knowledge : Research findings contribute to the body of knowledge on a particular topic, by adding new information, insights, and understanding to the existing knowledge base.
• To test hypotheses or theories : Research findings can be used to test hypotheses or theories that have been proposed in a particular field or discipline. This helps to determine the validity and reliability of the hypotheses or theories, and to refine or develop new ones.
• To inform practice: Research findings can be used to inform practice in various fields, such as healthcare, education, and business. By identifying best practices and evidence-based interventions, research findings can help practitioners to make informed decisions and improve outcomes.
• To identify gaps in knowledge: Research findings can help to identify gaps in knowledge and understanding of a particular topic, which can then be addressed by further research.
• To contribute to policy development: Research findings can be used to inform policy development in various fields, such as environmental protection, social welfare, and economic development. By providing evidence-based recommendations, research findings can help policymakers to develop effective policies that address societal challenges.

Characteristics of Research Findings

Research findings have several key characteristics that distinguish them from other types of information or knowledge. Here are some of the main characteristics of research findings:

• Objective : Research findings are based on a systematic and rigorous investigation of a research question or hypothesis, using appropriate research methods and techniques. As such, they are generally considered to be more objective and reliable than other types of information.
• Empirical : Research findings are based on empirical evidence, which means that they are derived from observations or measurements of the real world. This gives them a high degree of credibility and validity.
• Generalizable : Research findings are often intended to be generalizable to a larger population or context beyond the specific study. This means that the findings can be applied to other situations or populations with similar characteristics.
• Transparent : Research findings are typically reported in a transparent manner, with a clear description of the research methods and data analysis techniques used. This allows others to assess the credibility and reliability of the findings.
• Peer-reviewed: Research findings are often subject to a rigorous peer-review process, in which experts in the field review the research methods, data analysis, and conclusions of the study. This helps to ensure the validity and reliability of the findings.
• Reproducible : Research findings are often designed to be reproducible, meaning that other researchers can replicate the study using the same methods and obtain similar results. This helps to ensure the validity and reliability of the findings.

Advantages of Research Findings

Research findings have many advantages, which make them valuable sources of knowledge and information. Here are some of the main advantages of research findings:

• Evidence-based: Research findings are based on empirical evidence, which means that they are grounded in data and observations from the real world. This makes them a reliable and credible source of information.
• Inform decision-making: Research findings can be used to inform decision-making in various fields, such as healthcare, education, and business. By identifying best practices and evidence-based interventions, research findings can help practitioners and policymakers to make informed decisions and improve outcomes.
• Identify gaps in knowledge: Research findings can help to identify gaps in knowledge and understanding of a particular topic, which can then be addressed by further research. This contributes to the ongoing development of knowledge in various fields.
• Improve outcomes : Research findings can be used to develop and implement evidence-based practices and interventions, which have been shown to improve outcomes in various fields, such as healthcare, education, and social services.
• Foster innovation: Research findings can inspire or guide innovation in various fields, such as technology and engineering. By providing new information and understanding of a particular topic, research findings can stimulate new ideas and approaches to problem-solving.
• Enhance credibility: Research findings are generally considered to be more credible and reliable than other types of information, as they are based on rigorous research methods and are subject to peer-review processes.

Limitations of Research Findings

While research findings have many advantages, they also have some limitations. Here are some of the main limitations of research findings:

• Limited scope: Research findings are typically based on a particular study or set of studies, which may have a limited scope or focus. This means that they may not be applicable to other contexts or populations.
• Potential for bias : Research findings can be influenced by various sources of bias, such as researcher bias, selection bias, or measurement bias. This can affect the validity and reliability of the findings.
• Ethical considerations: Research findings can raise ethical considerations, particularly in studies involving human subjects. Researchers must ensure that their studies are conducted in an ethical and responsible manner, with appropriate measures to protect the welfare and privacy of participants.
• Time and resource constraints : Research studies can be time-consuming and require significant resources, which can limit the number and scope of studies that are conducted. This can lead to gaps in knowledge or a lack of research on certain topics.
• Complexity: Some research findings can be complex and difficult to interpret, particularly in fields such as science or medicine. This can make it challenging for practitioners and policymakers to apply the findings to their work.
• Lack of generalizability : While research findings are intended to be generalizable to larger populations or contexts, there may be factors that limit their generalizability. For example, cultural or environmental factors may influence how a particular intervention or treatment works in different populations or contexts.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How To Write the Findings Chapter for Qualitative Studies

Writing the findings chapter for qualitative studies is a critical step in the research process. This chapter allows researchers to present their findings, analyze the data collected, and draw conclusions based on the study’s objectives. In this blog post, I’lll explore the purpose, key elements, preparation, writing, and presentation of the findings chapter in qualitative studies.

Introduction: Contextualizing Your Findings

The introductory section serves as the gateway to your qualitative findings chapter. Begin by reiterating your problem statement and research questions, setting the stage for the data that will be presented. Highlighting the purpose of your research is crucial at this point to give context to the reader.

Example: The primary aim of this case study is to explore how educators perceive the integration of artificial intelligence (AI) tools in K-12 education settings. This research seeks to understand the perceptions and experiences of educators who have implemented AI technologies in their classrooms, framed within the context of Technological Pedagogical Content Knowledge (TPACK). In this chapter, data are systematically organized into three overarching themes, each comprising sub-themes that provide a nuanced understanding of the participants’ perspectives. The research questions guiding this investigation were: (1) What are educators’ perceptions of the role of AI tools in K-12 classrooms? (2) How do educators navigate the challenges of integrating AI tools into their teaching practices? The answers to these questions are integral to understanding the complex dynamics of AI implementation in educational contexts.  

Overview of Findings

Following this, offer a brief overview of your main findings. While you should not delve into the details here, giving the reader an idea of what to expect can be helpful. Explain the overall structure of your results chapter and how you’ve organized it to maintain coherence and logical flow.

The Heart of the Matter: The Body of Your Chapter

Presentation.

The body of the chapter is where you lay out your data for the reader. In qualitative research, this usually means dividing your data into themes or categories, which should be clearly described and substantiated with quotes and examples from your dataset. These themes provide the skeletal framework upon which your narrative is built.

Structure and Flow

When planning your qualitative findings chapter, carefully outline the sections and subsections to maintain the flow of the writing and improve readability. You can structure your chapter based on themes, which is often the case in qualitative research, but other formats like chronological or framework-based structures may be more appropriate depending on your specific research design.

✅ Consistency is Key: Make sure each portion of findings adheres to a standardized structure. This enhances consistency and enables the reader to follow your line of reasoning.

Objective and Descriptive Language

While your narrative might touch upon individual experiences and perspectives, remember to maintain an objective tone. Your task is to describe, not interpret—that comes later, in the Discussion chapter. Thus, avoid phrases that suggest interpretation, such as “suggests” or “implies.”

Visual Aids

Tables, figures, and other visual aids can add another layer of comprehension and break up the text, but make sure they can be understood independently of your body text. Label them clearly and use color coding judiciously to indicate differences or hierarchy.

Data Analysis and Interpretation

As you delve into the data, aim to narrate a coherent story. Interpret your findings in light of the literature in the field and your theoretical framework, but remember to clearly differentiate between your descriptions and your interpretations.

✅ References and Appendices: When using quotes or data excerpts, reference them appropriately. Use appendices to present additional data and ensure that you cite them according to the referencing style prescribed by your institution (e.g., APA, Harvard).

Bringing It All Together: The Concluding Summary

This is the section where you summarize your key findings in a concise manner, reiterating points that directly relate to your research questions. It serves as a stepping stone to the Discussion chapter, providing the reader with the essential takeaways. As a rule of thumb, this section should contain no new information.

Additional Tips and Tricks

– Write in the past tense, as you present findings that have already been gathered.

– Review your work multiple times, ensuring each theme or finding is backed by sufficient data.

– Use Microsoft Word’s “heading styles” for consistency.

Final Thoughts

With the right approach, writing the Findings chapter can be an enriching experience that showcases your research and prepares you for discussions and conclusions that follow. The tips and guidelines presented here are meant to make this crucial chapter as clear and impactful as possible, helping you make a valuable contribution to your field of study.

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Qualitative Data Analysis

23 Presenting the Results of Qualitative Analysis

Mikaila Mariel Lemonik Arthur

Qualitative research is not finished just because you have determined the main findings or conclusions of your study. Indeed, disseminating the results is an essential part of the research process. By sharing your results with others, whether in written form as scholarly paper or an applied report or in some alternative format like an oral presentation, an infographic, or a video, you ensure that your findings become part of the ongoing conversation of scholarship in your field, forming part of the foundation for future researchers. This chapter provides an introduction to writing about qualitative research findings. It will outline how writing continues to contribute to the analysis process, what concerns researchers should keep in mind as they draft their presentations of findings, and how best to organize qualitative research writing

As you move through the research process, it is essential to keep yourself organized. Organizing your data, memos, and notes aids both the analytical and the writing processes. Whether you use electronic or physical, real-world filing and organizational systems, these systems help make sense of the mountains of data you have and assure you focus your attention on the themes and ideas you have determined are important (Warren and Karner 2015). Be sure that you have kept detailed notes on all of the decisions you have made and procedures you have followed in carrying out research design, data collection, and analysis, as these will guide your ultimate write-up.

First and foremost, researchers should keep in mind that writing is in fact a form of thinking. Writing is an excellent way to discover ideas and arguments and to further develop an analysis. As you write, more ideas will occur to you, things that were previously confusing will start to make sense, and arguments will take a clear shape rather than being amorphous and poorly-organized. However, writing-as-thinking cannot be the final version that you share with others. Good-quality writing does not display the workings of your thought process. It is reorganized and revised (more on that later) to present the data and arguments important in a particular piece. And revision is totally normal! No one expects the first draft of a piece of writing to be ready for prime time. So write rough drafts and memos and notes to yourself and use them to think, and then revise them until the piece is the way you want it to be for sharing.

Bergin (2018) lays out a set of key concerns for appropriate writing about research. First, present your results accurately, without exaggerating or misrepresenting. It is very easy to overstate your findings by accident if you are enthusiastic about what you have found, so it is important to take care and use appropriate cautions about the limitations of the research. You also need to work to ensure that you communicate your findings in a way people can understand, using clear and appropriate language that is adjusted to the level of those you are communicating with. And you must be clear and transparent about the methodological strategies employed in the research. Remember, the goal is, as much as possible, to describe your research in a way that would permit others to replicate the study. There are a variety of other concerns and decision points that qualitative researchers must keep in mind, including the extent to which to include quantification in their presentation of results, ethics, considerations of audience and voice, and how to bring the richness of qualitative data to life.

Quantification, as you have learned, refers to the process of turning data into numbers. It can indeed be very useful to count and tabulate quantitative data drawn from qualitative research. For instance, if you were doing a study of dual-earner households and wanted to know how many had an equal division of household labor and how many did not, you might want to count those numbers up and include them as part of the final write-up. However, researchers need to take care when they are writing about quantified qualitative data. Qualitative data is not as generalizable as quantitative data, so quantification can be very misleading. Thus, qualitative researchers should strive to use raw numbers instead of the percentages that are more appropriate for quantitative research. Writing, for instance, “15 of the 20 people I interviewed prefer pancakes to waffles” is a simple description of the data; writing “75% of people prefer pancakes” suggests a generalizable claim that is not likely supported by the data. Note that mixing numbers with qualitative data is really a type of mixed-methods approach. Mixed-methods approaches are good, but sometimes they seduce researchers into focusing on the persuasive power of numbers and tables rather than capitalizing on the inherent richness of their qualitative data.

A variety of issues of scholarly ethics and research integrity are raised by the writing process. Some of these are unique to qualitative research, while others are more universal concerns for all academic and professional writing. For example, it is essential to avoid plagiarism and misuse of sources. All quotations that appear in a text must be properly cited, whether with in-text and bibliographic citations to the source or with an attribution to the research participant (or the participant’s pseudonym or description in order to protect confidentiality) who said those words. Where writers will paraphrase a text or a participant’s words, they need to make sure that the paraphrase they develop accurately reflects the meaning of the original words. Thus, some scholars suggest that participants should have the opportunity to read (or to have read to them, if they cannot read the text themselves) all sections of the text in which they, their words, or their ideas are presented to ensure accuracy and enable participants to maintain control over their lives.

Audience and Voice

When writing, researchers must consider their audience(s) and the effects they want their writing to have on these audiences. The designated audience will dictate the voice used in the writing, or the individual style and personality of a piece of text. Keep in mind that the potential audience for qualitative research is often much more diverse than that for quantitative research because of the accessibility of the data and the extent to which the writing can be accessible and interesting. Yet individual pieces of writing are typically pitched to a more specific subset of the audience.

Let us consider one potential research study, an ethnography involving participant-observation of the same children both when they are at daycare facility and when they are at home with their families to try to understand how daycare might impact behavior and social development. The findings of this study might be of interest to a wide variety of potential audiences: academic peers, whether at your own academic institution, in your broader discipline, or multidisciplinary; people responsible for creating laws and policies; practitioners who run or teach at day care centers; and the general public, including both people who are interested in child development more generally and those who are themselves parents making decisions about child care for their own children. And the way you write for each of these audiences will be somewhat different. Take a moment and think through what some of these differences might look like.

If you are writing to academic audiences, using specialized academic language and working within the typical constraints of scholarly genres, as will be discussed below, can be an important part of convincing others that your work is legitimate and should be taken seriously. Your writing will be formal. Even if you are writing for students and faculty you already know—your classmates, for instance—you are often asked to imitate the style of academic writing that is used in publications, as this is part of learning to become part of the scholarly conversation. When speaking to academic audiences outside your discipline, you may need to be more careful about jargon and specialized language, as disciplines do not always share the same key terms. For instance, in sociology, scholars use the term diffusion to refer to the way new ideas or practices spread from organization to organization. In the field of international relations, scholars often used the term cascade to refer to the way ideas or practices spread from nation to nation. These terms are describing what is fundamentally the same concept, but they are different terms—and a scholar from one field might have no idea what a scholar from a different field is talking about! Therefore, while the formality and academic structure of the text would stay the same, a writer with a multidisciplinary audience might need to pay more attention to defining their terms in the body of the text.

It is not only other academic scholars who expect to see formal writing. Policymakers tend to expect formality when ideas are presented to them, as well. However, the content and style of the writing will be different. Much less academic jargon should be used, and the most important findings and policy implications should be emphasized right from the start rather than initially focusing on prior literature and theoretical models as you might for an academic audience. Long discussions of research methods should also be minimized. Similarly, when you write for practitioners, the findings and implications for practice should be highlighted. The reading level of the text will vary depending on the typical background of the practitioners to whom you are writing—you can make very different assumptions about the general knowledge and reading abilities of a group of hospital medical directors with MDs than you can about a group of case workers who have a post-high-school certificate. Consider the primary language of your audience as well. The fact that someone can get by in spoken English does not mean they have the vocabulary or English reading skills to digest a complex report. But the fact that someone’s vocabulary is limited says little about their intellectual abilities, so try your best to convey the important complexity of the ideas and findings from your research without dumbing them down—even if you must limit your vocabulary usage.

When writing for the general public, you will want to move even further towards emphasizing key findings and policy implications, but you also want to draw on the most interesting aspects of your data. General readers will read sociological texts that are rich with ethnographic or other kinds of detail—it is almost like reality television on a page! And this is a contrast to busy policymakers and practitioners, who probably want to learn the main findings as quickly as possible so they can go about their busy lives. But also keep in mind that there is a wide variation in reading levels. Journalists at publications pegged to the general public are often advised to write at about a tenth-grade reading level, which would leave most of the specialized terminology we develop in our research fields out of reach. If you want to be accessible to even more people, your vocabulary must be even more limited. The excellent exercise of trying to write using the 1,000 most common English words, available at the Up-Goer Five website ( https://www.splasho.com/upgoer5/ ) does a good job of illustrating this challenge (Sanderson n.d.).

Another element of voice is whether to write in the first person. While many students are instructed to avoid the use of the first person in academic writing, this advice needs to be taken with a grain of salt. There are indeed many contexts in which the first person is best avoided, at least as long as writers can find ways to build strong, comprehensible sentences without its use, including most quantitative research writing. However, if the alternative to using the first person is crafting a sentence like “it is proposed that the researcher will conduct interviews,” it is preferable to write “I propose to conduct interviews.” In qualitative research, in fact, the use of the first person is far more common. This is because the researcher is central to the research project. Qualitative researchers can themselves be understood as research instruments, and thus eliminating the use of the first person in writing is in a sense eliminating information about the conduct of the researchers themselves.

But the question really extends beyond the issue of first-person or third-person. Qualitative researchers have choices about how and whether to foreground themselves in their writing, not just in terms of using the first person, but also in terms of whether to emphasize their own subjectivity and reflexivity, their impressions and ideas, and their role in the setting. In contrast, conventional quantitative research in the positivist tradition really tries to eliminate the author from the study—which indeed is exactly why typical quantitative research avoids the use of the first person. Keep in mind that emphasizing researchers’ roles and reflexivity and using the first person does not mean crafting articles that provide overwhelming detail about the author’s thoughts and practices. Readers do not need to hear, and should not be told, which database you used to search for journal articles, how many hours you spent transcribing, or whether the research process was stressful—save these things for the memos you write to yourself. Rather, readers need to hear how you interacted with research participants, how your standpoint may have shaped the findings, and what analytical procedures you carried out.

Making Data Come Alive

One of the most important parts of writing about qualitative research is presenting the data in a way that makes its richness and value accessible to readers. As the discussion of analysis in the prior chapter suggests, there are a variety of ways to do this. Researchers may select key quotes or images to illustrate points, write up specific case studies that exemplify their argument, or develop vignettes (little stories) that illustrate ideas and themes, all drawing directly on the research data. Researchers can also write more lengthy summaries, narratives, and thick descriptions.

Nearly all qualitative work includes quotes from research participants or documents to some extent, though ethnographic work may focus more on thick description than on relaying participants’ own words. When quotes are presented, they must be explained and interpreted—they cannot stand on their own. This is one of the ways in which qualitative research can be distinguished from journalism. Journalism presents what happened, but social science needs to present the “why,” and the why is best explained by the researcher.

So how do authors go about integrating quotes into their written work? Julie Posselt (2017), a sociologist who studies graduate education, provides a set of instructions. First of all, authors need to remain focused on the core questions of their research, and avoid getting distracted by quotes that are interesting or attention-grabbing but not so relevant to the research question. Selecting the right quotes, those that illustrate the ideas and arguments of the paper, is an important part of the writing process. Second, not all quotes should be the same length (just like not all sentences or paragraphs in a paper should be the same length). Include some quotes that are just phrases, others that are a sentence or so, and others that are longer. We call longer quotes, generally those more than about three lines long, block quotes , and they are typically indented on both sides to set them off from the surrounding text. For all quotes, be sure to summarize what the quote should be telling or showing the reader, connect this quote to other quotes that are similar or different, and provide transitions in the discussion to move from quote to quote and from topic to topic. Especially for longer quotes, it is helpful to do some of this writing before the quote to preview what is coming and other writing after the quote to make clear what readers should have come to understand. Remember, it is always the author’s job to interpret the data. Presenting excerpts of the data, like quotes, in a form the reader can access does not minimize the importance of this job. Be sure that you are explaining the meaning of the data you present.

A few more notes about writing with quotes: avoid patchwriting, whether in your literature review or the section of your paper in which quotes from respondents are presented. Patchwriting is a writing practice wherein the author lightly paraphrases original texts but stays so close to those texts that there is little the author has added. Sometimes, this even takes the form of presenting a series of quotes, properly documented, with nothing much in the way of text generated by the author. A patchwriting approach does not build the scholarly conversation forward, as it does not represent any kind of new contribution on the part of the author. It is of course fine to paraphrase quotes, as long as the meaning is not changed. But if you use direct quotes, do not edit the text of the quotes unless how you edit them does not change the meaning and you have made clear through the use of ellipses (…) and brackets ([])what kinds of edits have been made. For example, consider this exchange from Matthew Desmond’s (2012:1317) research on evictions:

The thing was, I wasn’t never gonna let Crystal come and stay with me from the get go. I just told her that to throw her off. And she wasn’t fittin’ to come stay with me with no money…No. Nope. You might as well stay in that shelter.

A paraphrase of this exchange might read “She said that she was going to let Crystal stay with her if Crystal did not have any money.” Paraphrases like that are fine. What is not fine is rewording the statement but treating it like a quote, for instance writing:

The thing was, I was not going to let Crystal come and stay with me from beginning. I just told her that to throw her off. And it was not proper for her to come stay with me without any money…No. Nope. You might as well stay in that shelter.

But as you can see, the change in language and style removes some of the distinct meaning of the original quote. Instead, writers should leave as much of the original language as possible. If some text in the middle of the quote needs to be removed, as in this example, ellipses are used to show that this has occurred. And if a word needs to be added to clarify, it is placed in square brackets to show that it was not part of the original quote.

Data can also be presented through the use of data displays like tables, charts, graphs, diagrams, and infographics created for publication or presentation, as well as through the use of visual material collected during the research process. Note that if visuals are used, the author must have the legal right to use them. Photographs or diagrams created by the author themselves—or by research participants who have signed consent forms for their work to be used, are fine. But photographs, and sometimes even excerpts from archival documents, may be owned by others from whom researchers must get permission in order to use them.

A large percentage of qualitative research does not include any data displays or visualizations. Therefore, researchers should carefully consider whether the use of data displays will help the reader understand the data. One of the most common types of data displays used by qualitative researchers are simple tables. These might include tables summarizing key data about cases included in the study; tables laying out the characteristics of different taxonomic elements or types developed as part of the analysis; tables counting the incidence of various elements; and 2×2 tables (two columns and two rows) illuminating a theory. Basic network or process diagrams are also commonly included. If data displays are used, it is essential that researchers include context and analysis alongside data displays rather than letting them stand by themselves, and it is preferable to continue to present excerpts and examples from the data rather than just relying on summaries in the tables.

If you will be using graphs, infographics, or other data visualizations, it is important that you attend to making them useful and accurate (Bergin 2018). Think about the viewer or user as your audience and ensure the data visualizations will be comprehensible. You may need to include more detail or labels than you might think. Ensure that data visualizations are laid out and labeled clearly and that you make visual choices that enhance viewers’ ability to understand the points you intend to communicate using the visual in question. Finally, given the ease with which it is possible to design visuals that are deceptive or misleading, it is essential to make ethical and responsible choices in the construction of visualization so that viewers will interpret them in accurate ways.

The Genre of Research Writing

As discussed above, the style and format in which results are presented depends on the audience they are intended for. These differences in styles and format are part of the genre of writing. Genre is a term referring to the rules of a specific form of creative or productive work. Thus, the academic journal article—and student papers based on this form—is one genre. A report or policy paper is another. The discussion below will focus on the academic journal article, but note that reports and policy papers follow somewhat different formats. They might begin with an executive summary of one or a few pages, include minimal background, focus on key findings, and conclude with policy implications, shifting methods and details about the data to an appendix. But both academic journal articles and policy papers share some things in common, for instance the necessity for clear writing, a well-organized structure, and the use of headings.

So what factors make up the genre of the academic journal article in sociology? While there is some flexibility, particularly for ethnographic work, academic journal articles tend to follow a fairly standard format. They begin with a “title page” that includes the article title (often witty and involving scholarly inside jokes, but more importantly clearly describing the content of the article); the authors’ names and institutional affiliations, an abstract , and sometimes keywords designed to help others find the article in databases. An abstract is a short summary of the article that appears both at the very beginning of the article and in search databases. Abstracts are designed to aid readers by giving them the opportunity to learn enough about an article that they can determine whether it is worth their time to read the complete text. They are written about the article, and thus not in the first person, and clearly summarize the research question, methodological approach, main findings, and often the implications of the research.

After the abstract comes an “introduction” of a page or two that details the research question, why it matters, and what approach the paper will take. This is followed by a literature review of about a quarter to a third the length of the entire paper. The literature review is often divided, with headings, into topical subsections, and is designed to provide a clear, thorough overview of the prior research literature on which a paper has built—including prior literature the new paper contradicts. At the end of the literature review it should be made clear what researchers know about the research topic and question, what they do not know, and what this new paper aims to do to address what is not known.

The next major section of the paper is the section that describes research design, data collection, and data analysis, often referred to as “research methods” or “methodology.” This section is an essential part of any written or oral presentation of your research. Here, you tell your readers or listeners “how you collected and interpreted your data” (Taylor, Bogdan, and DeVault 2016:215). Taylor, Bogdan, and DeVault suggest that the discussion of your research methods include the following:

• The particular approach to data collection used in the study;
• Any theoretical perspective(s) that shaped your data collection and analytical approach;
• When the study occurred, over how long, and where (concealing identifiable details as needed);
• A description of the setting and participants, including sampling and selection criteria (if an interview-based study, the number of participants should be clearly stated);
• The researcher’s perspective in carrying out the study, including relevant elements of their identity and standpoint, as well as their role (if any) in research settings; and
• The approach to analyzing the data.

After the methods section comes a section, variously titled but often called “data,” that takes readers through the analysis. This section is where the thick description narrative; the quotes, broken up by theme or topic, with their interpretation; the discussions of case studies; most data displays (other than perhaps those outlining a theoretical model or summarizing descriptive data about cases); and other similar material appears. The idea of the data section is to give readers the ability to see the data for themselves and to understand how this data supports the ultimate conclusions. Note that all tables and figures included in formal publications should be titled and numbered.

At the end of the paper come one or two summary sections, often called “discussion” and/or “conclusion.” If there is a separate discussion section, it will focus on exploring the overall themes and findings of the paper. The conclusion clearly and succinctly summarizes the findings and conclusions of the paper, the limitations of the research and analysis, any suggestions for future research building on the paper or addressing these limitations, and implications, be they for scholarship and theory or policy and practice.

After the end of the textual material in the paper comes the bibliography, typically called “works cited” or “references.” The references should appear in a consistent citation style—in sociology, we often use the American Sociological Association format (American Sociological Association 2019), but other formats may be used depending on where the piece will eventually be published. Care should be taken to ensure that in-text citations also reflect the chosen citation style. In some papers, there may be an appendix containing supplemental information such as a list of interview questions or an additional data visualization.

Note that when researchers give presentations to scholarly audiences, the presentations typically follow a format similar to that of scholarly papers, though given time limitations they are compressed. Abstracts and works cited are often not part of the presentation, though in-text citations are still used. The literature review presented will be shortened to only focus on the most important aspects of the prior literature, and only key examples from the discussion of data will be included. For long or complex papers, sometimes only one of several findings is the focus of the presentation. Of course, presentations for other audiences may be constructed differently, with greater attention to interesting elements of the data and findings as well as implications and less to the literature review and methods.

Concluding Your Work

After you have written a complete draft of the paper, be sure you take the time to revise and edit your work. There are several important strategies for revision. First, put your work away for a little while. Even waiting a day to revise is better than nothing, but it is best, if possible, to take much more time away from the text. This helps you forget what your writing looks like and makes it easier to find errors, mistakes, and omissions. Second, show your work to others. Ask them to read your work and critique it, pointing out places where the argument is weak, where you may have overlooked alternative explanations, where the writing could be improved, and what else you need to work on. Finally, read your work out loud to yourself (or, if you really need an audience, try reading to some stuffed animals). Reading out loud helps you catch wrong words, tricky sentences, and many other issues. But as important as revision is, try to avoid perfectionism in writing (Warren and Karner 2015). Writing can always be improved, no matter how much time you spend on it. Those improvements, however, have diminishing returns, and at some point the writing process needs to conclude so the writing can be shared with the world.

Of course, the main goal of writing up the results of a research project is to share with others. Thus, researchers should be considering how they intend to disseminate their results. What conferences might be appropriate? Where can the paper be submitted? Note that if you are an undergraduate student, there are a wide variety of journals that accept and publish research conducted by undergraduates. Some publish across disciplines, while others are specific to disciplines. Other work, such as reports, may be best disseminated by publication online on relevant organizational websites.

After a project is completed, be sure to take some time to organize your research materials and archive them for longer-term storage. Some Institutional Review Board (IRB) protocols require that original data, such as interview recordings, transcripts, and field notes, be preserved for a specific number of years in a protected (locked for paper or password-protected for digital) form and then destroyed, so be sure that your plans adhere to the IRB requirements. Be sure you keep any materials that might be relevant for future related research or for answering questions people may ask later about your project.

And then what? Well, then it is time to move on to your next research project. Research is a long-term endeavor, not a one-time-only activity. We build our skills and our expertise as we continue to pursue research. So keep at it.

• Find a short article that uses qualitative methods. The sociological magazine Contexts is a good place to find such pieces. Write an abstract of the article.
• Choose a sociological journal article on a topic you are interested in that uses some form of qualitative methods and is at least 20 pages long. Rewrite the article as a five-page research summary accessible to non-scholarly audiences.
• Choose a concept or idea you have learned in this course and write an explanation of it using the Up-Goer Five Text Editor ( https://www.splasho.com/upgoer5/ ), a website that restricts your writing to the 1,000 most common English words. What was this experience like? What did it teach you about communicating with people who have a more limited English-language vocabulary—and what did it teach you about the utility of having access to complex academic language?
• Select five or more sociological journal articles that all use the same basic type of qualitative methods (interviewing, ethnography, documents, or visual sociology). Using what you have learned about coding, code the methods sections of each article, and use your coding to figure out what is common in how such articles discuss their research design, data collection, and analysis methods.
• Return to an exercise you completed earlier in this course and revise your work. What did you change? How did revising impact the final product?
• Find a quote from the transcript of an interview, a social media post, or elsewhere that has not yet been interpreted or explained. Write a paragraph that includes the quote along with an explanation of its sociological meaning or significance.

The style or personality of a piece of writing, including such elements as tone, word choice, syntax, and rhythm.

A quotation, usually one of some length, which is set off from the main text by being indented on both sides rather than being placed in quotation marks.

A classification of written or artistic work based on form, content, and style.

A short summary of a text written from the perspective of a reader rather than from the perspective of an author.

Social Data Analysis Copyright © 2021 by Mikaila Mariel Lemonik Arthur is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on September 5, 2024.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

• How does social media shape body image in teenagers?
• How do children and adults interpret healthy eating in the UK?
• What factors influence employee retention in a large organization?
• How is anxiety experienced around the world?
• How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organize your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorize your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

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Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

• Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organization to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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Qualitative Research Resources: Writing Up Your Research

Created by health science librarians.

• What is Qualitative Research?
• Qualitative Research Basics
• Special Topics
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• Qualitative Software for Coding/Analysis
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About this Page

Writing conventions for qualitative research, sample size/sampling:.

• Integrating Qualitative Research into Systematic Reviews
• Publishing Qualitative Research
• Presenting Qualitative Research
• Qualitative & Libraries: a few gems
• Data Repositories

Why is this information important?

• The conventions of good writing and research reporting are different for qualitative and quantitative research.
• Your article will be more likely to be published if you make sure you follow appropriate conventions in your writing.

On this page you will find the following helpful resources:

• Articles with information on what journal editors look for in qualitative research articles.
• Articles and books on the craft of collating qualitative data into a research article.

These articles provide tips on what journal editors look for when they read qualitative research papers for potential publication.  Also see Assessing Qualitative Research tab in this guide for additional information that may be helpful to authors.

Belgrave, L., D. Zablotsky and M.A. Guadagno.(2002). How do we talk to each other? Writing qualitative research for quantitative readers . Qualitative Health Research , 12(10),1427-1439.

Hunt, Brandon. (2011) Publishing Qualitative Research in Counseling Journals . Journal of Counseling and Development 89(3):296-300.

Fetters, Michael and Dawn Freshwater. (2015). Publishing a Methodological Mixed Methods Research Article. Journal of Mixed Methods Research 9(3): 203-213.

Koch, Lynn C., Tricia Niesz, and Henry McCarthy. (2014). Understanding and Reporting Qualitative Research: An Analytic Review and Recommendations for Submitting Authors. Rehabilitation Counseling Bulletin 57(3):131-143.

Morrow, Susan L. (2005) Quality and Trustworthiness in Qualitative Research in Counseling Psychology ; Journal of Counseling Psychology 52(2):250-260.

Oliver, Deborah P. (2011) "Rigor in Qualitative Research." Research on Aging 33(4): 359-360.

Sandelowski, M., & Leeman, J. (2012). Writing usable qualitative health research findings . Qual Health Res, 22(10), 1404-1413.

Schoenberg, Nancy E., Miller, Edward A., and Pruchno, Rachel. (2011) The qualitative portfolio at The Gerontologist : strong and getting stronger. Gerontologist 51(3): 281-284.

Weaver-Hightower, M. B. (2019). How to write qualitative research . [e-book]

Sidhu, Kalwant, Roger Jones, and Fiona Stevenson (2017). Publishing qualitative research in medical journals. Br J Gen Pract ; 67 (658): 229-230. DOI: 10.3399/bjgp17X690821 PMID: 28450340

• This article is based on a workshop on publishing qualitative studies held at the Society for Academic Primary Care Annual Conference, Dublin, July 2016.

Smith, Mary Lee.(1987) Publishing Qualitative Research. American Educational Research Journal 24(2): 173-183.

Tong, Allison, Sainsbury, Peter, Craig, Jonathan ; Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups , International Journal for Quality in Health Care , Volume 19, Issue 6, 1 December 2007, Pages 349–357, https://doi.org/10.1093/intqhc/mzm042 .

Tracy, Sarah. (2010) Qualitative Quality: Eight 'Big-Tent' Criteria for Excellent Qualitative Research. Qualitative Inquiry 16(10):837-51.

Because reviewers are not always familiar with qualitative methods, they may ask for explanation or justification of your methods when you submit an article. Because different disciplines,different qualitative methods, and different contexts may dictate different approaches to this issue, you may want to consult articles in your field and in target journals for publication.  Additionally, here are some articles that may be helpful in thinking about this issue. 

Bonde, Donna. (2013). Qualitative Interviews: When Enough is Enough . Research by Design.

Guest, Greg, Arwen Bunce, and Laura Johnson. (2006) How Many Interviews are Enough?: An Experiment with Data Saturation and Variability. Field Methods 18(1): 59-82.

Hennink, Monique and Bonnie N. Kaiser. (2022) Sample Sizes for Saturation in Qualitative Research: A Systematic Review of Empirical Tests . Social Science & Medicine 292:114523. doi: 10.1016/j.socscimed.2021.114523. Epub 2021 Nov 2. PMID: 34785096.

Morse, Janice M. (2015) "Data Were Saturated..." Qualitative Health Research 25(5): 587-88 . doi:10.1177/1049732315576699.

Nelson, J. (2016) "Using Conceptual Depth Criteria: Addressing the Challenge of Reaching Saturation in Qualitative Research." Qualitative Research, December. doi:10.1177/1468794116679873.

Patton, Michael Quinn. (2015) "Chapter 5: Designing Qualitative Studies, Module 30 Purposeful Sampling and Case Selection. In Qualitative Research & Evaluation Methods: Integrating Theory and Practice, Fourth edition, pp. 264-72. Thousand Oaks, California: SAGE Publications, Inc. ISBN: 978-1-4129-7212-3

Small, Mario Luis. (2009) 'How Many Cases Do I Need?': On Science and the Logic of Case-Based Selection in Field-Based Research. Ethnography 10(1): 538.

Search the UNC-CH catalog for books about qualitative writing . Selected general books from the catalog are listed below. If you are a researcher at another institution, ask your librarian for assistance locating similar books in your institution's catalog or ordering them via InterLibrary Loan.  

Oft quoted and food for thought

• Morse, J. M. (1997). " Perfectly healthy, but dead": the myth of inter-rater reliability. DOI:10.1177/104973239700700401 Editorial
• Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., ... & Carlsson, R. (2018). Many analysts, one data set: Making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychologi
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4 Writing Up the Research Findings

• Published: May 2013
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This chapter discusses different theoretical and practical tools which are meant to assist researchers in writing up their findings. It first deals with the problem of how to reduce a large amount of data into something that can be communicated in a short journal article or book chapter. It then discusses different ways of organizing the presentation of one's findings in terms of the macrostructure, i.e. the general argumentative or communicative drive of the research text, and the microstructure, i.e. the crafting of concrete sentences and paragraphs, of the text. Finally, the chapter examines the role of theory in writing up the research findings and presents two examples of excellent interview reports that demonstrate diametrically opposed uses of theory. The first example uses theory in articulating the findings by telling an analytic story, while the other is theory-free, but deeply evocative, written in a literary style, crafted rather more like a mystery story.

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Improving Qualitative Research Findings Presentations: Insights From Genre Theory

What is already known, what does this paper add, introduction, qualitative research findings presentation as genre, qualitative research findings presentation as method, qualitative research findings presentation as contributions to scholarly conversations, characteristics of current presentations of qualitative research, the potential of qualitative research findings presentations, improving presentations of qualitative research findings: considerations and suggestions, the qualitative research findings presentation as a sociocultural act, authors’ note, declaration of conflicting interests, cite article, share options, information, rights and permissions, metrics and citations, figures and tables.

The Aim of Presentations as a Discourse

Formal features and thematic structure, storification in the genre, situation of address and rhetorical function, material aspects of the presentation, presence: the human element of the presentation, the social media back channel, recommendations for future research, download to reference manager.

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Three principles for writing an effective qualitative results section

• Sayra Cristancho Centre for Education Research & Innovation. Western University
• Christopher Watling Centre for Education Research & Innovation. Western University
• Lorelei Lingard Centre for Education Research & Innovation. Western University

Apramian, T., Cristancho, S., Watling, C., Ott, M., & Lingard, L. (2015). Thresholds of principle and preference: Exploring procedural variation in postgraduate surgical education. Academic Medicine, 90, S70–S76. https://doi.org/10.1097/ACM.0000000000000909

Bynum, W. E., Varpio, L., Lagoo, J., & Teunissen, P. W. (2021). "I’m unworthy of being in this space": The origins of shame in medical students. Medical Education, 55(2), 185–197. https://doi.org/10.1111/medu.14354

Corden, A., & Sainsbury, R. (2006). Using verbatim quotations in reporting qualitative social research: Researchers’ views. University of York. http://www.york.ac.uk/inst/spru/pubs/pdf/verbquotresearch.pdf

Emmerton-Coughlin, H., Schlachta, C., & Lingard, L. (2017). "The other right": Control strategies and the role of language use in laparoscopic training. Medical Education, 51(12), 1269–1276. https://doi.org/10.1111/medu.13420

Ginsburg, S., Regehr, G., Lingard, L., & Eva, K. W. (2015). Reading between the lines: Faculty interpretations of narrative evaluation comments. Medical Education, 49(3), 296–306. https://doi.org/10.1111/medu.12637

Graff, G., & Birkenstein, C. (2018). “They say/I say”: The moves that matter in academic writing (4th ed.). W. W. Norton & Company.

Greenhalgh, T., Seyan, K., & Boynton, P. (2004). “Not a university type”: Focus group study of social class, ethnic, and sex differences in school pupils’ perceptions about medical school. BMJ, 328(7455), 1541. https://doi.org/10.1136/bmj.328.7455.1541

Lingard, L. (2004). Communication failures in the operating room: An observational classification of recurrent types and effects. Quality and Safety in Health Care, 13(5), 330–334. https://doi.org/10.1136/qshc.2003.008425

Lingard, L. (2019). Beyond the default colon: Effective use of quotes in qualitative research. Perspectives on Medical Education, 8, 360–364. https://doi.org/10.1007/s40037-019-00550-7

Lingard, L., & Watling, C. (2016). It’s a story, not a study: Writing an effective research paper. Academic Medicine, 91(12), e12. https://doi.org/10.1097/ACM.0000000000001389

McElhinney, Z., & Kennedy, C. (2021). By accident or design? An exploration of the career pathways, experiences and identities of academic GPs using composite narratives. Education for Primary Care, 32(5), 266–271. https://doi.org/10.1080/14739879.2021.1894991

Morrow, S. L. (2005). Quality and trustworthiness in qualitative research in counseling psychology. Journal of Counseling Psychology, 52(2), 250–260. https://doi.org/10.1037/0022-0167.52.2.250

Pack, R., Lingard, L., Watling, C., & Cristancho, S. (2020). Beyond summative decision making: Illuminating the broader roles of competence committees. Medical Education, 54(6), 517–527. https://doi.org/10.1111/medu.14072

Pratt, M. G. (2008). Fitting oval pegs into round holes: Tensions in evaluating and publishing qualitative research in top-tier North American journals. Organizational Research Methods, 11(3), 481–509. https://doi.org/10.1177/1094428107303349

Pratt, M. G. (2009). From the editors: For the lack of a boilerplate: Tips on writing up (and reviewing) qualitative research. Academy of Management Journal, 52(5), 856–862. https://doi.org/10.5465/amj.2009.44632557

Should scientists tell stories? (2013). Nature Methods, 10(11), 1037–1037. https://doi.org/10.1038/nmeth.2726

Simmons, A. (2019). The story factor: Inspiration, influence, and persuasion through the art of storytelling (Revised ed.). Basic Books.

Tottie, G. (2016). Planning what to say: Uh and um among the pragmatic markers. In G. Kaltenböck, E. Keizer, & A. Lohmann (Eds.), Studies in language companion series (Vol. 178, pp. 97–122). John Benjamins. https://doi.org/10.1075/slcs.178.04tot

Varpio, L., Ajjawi, R., Monrouxe, L. V., O’Brien, B. C., & Rees, C. E. (2017). Shedding the cobra effect: Problematising thematic emergence, triangulation, saturation and member checking. Medical Education, 51(1), 40–50. https://doi.org/10.1111/medu.13124

Watling, C., Driessen, E., van der Vleuten, C. P. M., & Lingard, L. (2012). Learning from clinical work: The roles of learning cues and credibility judgements. Medical Education, 46(2), 192–200. https://doi.org/10.1111/j.1365-2923.2011.04126.x

Willis, R. (2019). The use of composite narratives to present interview findings. Qualitative Research, 19(4), 471–480. https://doi.org/10.1177/1468794118787711

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Qualitative data analysis methods should flow from, or align with, the methodological paradigm chosen for your study, whether that paradigm is interpretivist, critical, positivist, or participative in nature (or a combination of these). Some established methods include Content Analysis, Critical Analysis, Discourse Analysis, Gestalt Analysis, Grounded Theory Analysis, Interpretive Analysis, Narrative Analysis, Normative Analysis, Phenomenological Analysis, Rhetorical Analysis, and Semiotic Analysis, among others. The following resources should help you navigate your methodological options and put into practice methods for coding, themeing, interpreting, and presenting your data.

• Users can browse content by topic, discipline, or format type (reference works, book chapters, definitions, etc.). SRM offers several research tools as well: a methods map, user-created reading lists, a project planner, and advice on choosing statistical tests.  
• Abductive Coding: Theory Building and Qualitative (Re)Analysis by Vila-Henninger, et al.  The authors recommend an abductive approach to guide qualitative researchers who are oriented towards theory-building. They outline a set of tactics for abductive analysis, including the generation of an abductive codebook, abductive data reduction through code equations, and in-depth abductive qualitative analysis.  
• Analyzing and Interpreting Qualitative Research: After the Interview by Charles F. Vanover, Paul A. Mihas, and Johnny Saldana (Editors)   Providing insight into the wide range of approaches available to the qualitative researcher and covering all steps in the research process, the authors utilize a consistent chapter structure that provides novice and seasoned researchers with pragmatic, "how-to" strategies. Each chapter author introduces the method, uses one of their own research projects as a case study of the method described, shows how the specific analytic method can be used in other types of studies, and concludes with three questions/activities to prompt class discussion or personal study.   
• "Analyzing Qualitative Data." Theory Into Practice 39, no. 3 (2000): 146-54 by Margaret D. LeCompte   This article walks readers though rules for unbiased data analysis and provides guidance for getting organized, finding items, creating stable sets of items, creating patterns, assembling structures, and conducting data validity checks.  
• "Coding is Not a Dirty Word" in Chapter 1 (pp. 1–30) of Enhancing Qualitative and Mixed Methods Research with Technology by Shalin Hai-Jew (Editor)   Current discourses in qualitative research, especially those situated in postmodernism, represent coding and the technology that assists with coding as reductive, lacking complexity, and detached from theory. In this chapter, the author presents a counter-narrative to this dominant discourse in qualitative research. The author argues that coding is not necessarily devoid of theory, nor does the use of software for data management and analysis automatically render scholarship theoretically lightweight or barren. A lack of deep analytical insight is a consequence not of software but of epistemology. Using examples informed by interpretive and critical approaches, the author demonstrates how NVivo can provide an effective tool for data management and analysis. The author also highlights ideas for critical and deconstructive approaches in qualitative inquiry while using NVivo. By troubling the positivist discourse of coding, the author seeks to create dialogic spaces that integrate theory with technology-driven data management and analysis, while maintaining the depth and rigor of qualitative research.   
• The Coding Manual for Qualitative Researchers by Johnny Saldana   An in-depth guide to the multiple approaches available for coding qualitative data. Clear, practical and authoritative, the book profiles 32 coding methods that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldaña discusses the methods, origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up. Essential reading across the social sciences.  
• Flexible Coding of In-depth Interviews: A Twenty-first-century Approach by Nicole M. Deterding and Mary C. Waters The authors suggest steps in data organization and analysis to better utilize qualitative data analysis technologies and support rigorous, transparent, and flexible analysis of in-depth interview data.  
• From the Editors: What Grounded Theory is Not by Roy Suddaby Walks readers through common misconceptions that hinder grounded theory studies, reinforcing the two key concepts of the grounded theory approach: (1) constant comparison of data gathered throughout the data collection process and (2) the determination of which kinds of data to sample in succession based on emergent themes (i.e., "theoretical sampling").  
• “Good enough” methods for life-story analysis, by Wendy Luttrell. In Quinn N. (Ed.), Finding culture in talk (pp. 243–268). Demonstrates for researchers of culture and consciousness who use narrative how to concretely document reflexive processes in terms of where, how and why particular decisions are made at particular stages of the research process.   
• The Ethnographic Interview by James P. Spradley  “Spradley wrote this book for the professional and student who have never done ethnographic fieldwork (p. 231) and for the professional ethnographer who is interested in adapting the author’s procedures (p. iv) ... Steps 6 and 8 explain lucidly how to construct a domain and a taxonomic analysis” (excerpted from book review by James D. Sexton, 1980). See also:  Presentation slides on coding and themeing your data, derived from Saldana, Spradley, and LeCompte Click to request access.  
• Qualitative Data Analysis by Matthew B. Miles; A. Michael Huberman   A practical sourcebook for researchers who make use of qualitative data, presenting the current state of the craft in the design, testing, and use of qualitative analysis methods. Strong emphasis is placed on data displays matrices and networks that go beyond ordinary narrative text. Each method of data display and analysis is described and illustrated.  
• "A Survey of Qualitative Data Analytic Methods" in Chapter 4 (pp. 89–138) of Fundamentals of Qualitative Research by Johnny Saldana   Provides an in-depth introduction to coding as a heuristic, particularly focusing on process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Includes advice on writing analytic memos, developing categories, and themeing data.   
• "Thematic Networks: An Analytic Tool for Qualitative Research." Qualitative Research : QR, 1(3), 385–405 by Jennifer Attride-Stirling Details a technique for conducting thematic analysis of qualitative material, presenting a step-by-step guide of the analytic process, with the aid of an empirical example. The analytic method presented employs established, well-known techniques; the article proposes that thematic analyses can be usefully aided by and presented as thematic networks.  
• Using Thematic Analysis in Psychology by Virginia Braun and Victoria Clark Walks readers through the process of reflexive thematic analysis, step by step. The method may be adapted in fields outside of psychology as relevant. Pair this with One Size Fits All? What Counts as Quality Practice in Reflexive Thematic Analysis? by Virginia Braun and Victoria Clark

Data visualization can be employed formatively, to aid your data analysis, or summatively, to present your findings. Many qualitative data analysis (QDA) software platforms, such as NVivo , feature search functionality and data visualization options within them to aid data analysis during the formative stages of your project.

For expert assistance creating data visualizations to present your research, Harvard Library offers Visualization Support . Get help and training with data visualization design and tools—such as Tableau—for the Harvard community. Workshops and one-on-one consultations are also available.

The quality of your data analysis depends on how you situate what you learn within a wider body of knowledge. Consider the following advice:

A good literature review has many obvious virtues. It enables the investigator to define problems and assess data. It provides the concepts on which percepts depend. But the literature review has a special importance for the qualitative researcher. This consists of its ability to sharpen his or her capacity for surprise (Lazarsfeld, 1972b). The investigator who is well versed in the literature now has a set of expectations the data can defy. Counterexpectational data are conspicuous, readable, and highly provocative data. They signal the existence of unfulfilled theoretical assumptions, and these are, as Kuhn (1962) has noted, the very origins of intellectual innovation. A thorough review of the literature is, to this extent, a way to manufacture distance. It is a way to let the data of one's research project take issue with the theory of one's field.

- McCracken, G. (1988), The Long Interview, Sage: Newbury Park, CA, p. 31

Once you have coalesced around a theory, realize that a theory should  reveal  rather than  color  your discoveries. Allow your data to guide you to what's most suitable. Grounded theory  researchers may develop their own theory where current theories fail to provide insight.  This guide on Theoretical Models  from Alfaisal University Library provides a helpful overview on using theory.

If you'd like to supplement what you learned about relevant theories through your coursework and literature review, try these sources:

• Annual Reviews   Review articles sum up the latest research in many fields, including social sciences, biomedicine, life sciences, and physical sciences. These are timely collections of critical reviews written by leading scientists.  
• HOLLIS - search for resources on theories in your field   Modify this example search by entering the name of your field in place of "your discipline," then hit search.  
• Oxford Bibliographies   Written and reviewed by academic experts, every article in this database is an authoritative guide to the current scholarship in a variety of fields, containing original commentary and annotations.  
• ProQuest Dissertations & Theses (PQDT)   Indexes dissertations and masters' theses from most North American graduate schools as well as some European universities. Provides full text for most indexed dissertations from 1990-present.  
• Very Short Introductions   Launched by Oxford University Press in 1995, Very Short Introductions offer concise introductions to a diverse range of subjects from Climate to Consciousness, Game Theory to Ancient Warfare, Privacy to Islamic History, Economics to Literary Theory.
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• Open access
• Published: 11 September 2024

What does ‘safe care’ mean in the context of community-based mental health services? A qualitative exploration of the perspectives of service users, carers, and healthcare providers in England

• Phoebe Averill 1 ,
• Bryher Bowness 1 ,
• Claire Henderson 1   na1 &
• Nick Sevdalis 2   na1  

BMC Health Services Research volume  24 , Article number:  1053 ( 2024 ) Cite this article

Metrics details

Having traditionally received limited attention in empirical research and safety improvement agendas, issues of patient safety in mental healthcare increasingly feature in healthcare quality improvement discourses. Dominant approaches to safety stem from narrow clinical risk management perspectives, yet existing evidence points to the limitations of this characterisation. Although mental healthcare is increasingly delivered in community-based settings, narratives of safety pertain primarily to hospital-based mental healthcare. Therefore, through exploratory qualitative interviews and one focus group, we aimed to examine how service users, carers, and healthcare providers conceptualise ‘patient safety’ in community-based mental healthcare.

Semi-structured interviews and a single focus group were conducted with users of UK community-based mental healthcare provision for adults ( n  = 13), their carers ( n  = 12), and providers ( n  = 18), who were diverse in characteristics and experiences. Study data were analysed in accordance with a reflexive approach to thematic analysis.

Four key themes were developed, reflecting contrasting conceptualisations of safety in this care context, where participant thinking evolved throughout discussions. ‘ Systemic inertia: threats to safety ’ characterises the entrenched, systemic challenges which rendered participants powerless to advocate for or deliver safe care. ‘ Managing the risks service users present ’ equates ‘safe care’ to the mitigation of risks service users may pose to themselves or others when unwell, or risks from those around them. ‘ More than responding to risks: everyone plays a role in creating safety ’ recognises providers’ agency in causing or proactively preventing patient harm. Finally, ‘ The goals of ‘safety’: our destination is not yet in sight ’ positions safety as a work in progress, calling for ambitious safety agendas, giving primacy to goals which meaningfully improve service users’ lives.

Conclusions

Our findings have implications for the understanding and improvement of patient safety in community-based mental healthcare settings, where improvement objectives should transcend beyond management of risks and preventing deterioration to address patient and carer-centred concerns, including practices that make people feel unsafe.

Peer Review reports

Improving healthcare safety and reducing avoidable harm are global imperatives [ 1 ]. Until recently, safety optimisation efforts have centred primarily on physical healthcare settings, including acute care hospitals [ 2 , 3 , 4 ]. Nevertheless, emerging research has begun to illuminate the nature and causation of safety problems within mental healthcare [ 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. These works advance insights into inpatient safety, or that of various mental health settings more broadly. Safety challenges specific to community-based mental health services, where most mental healthcare is delivered, warrant focused scientific enquiry.

Although the field lacks coherent definitions and models of patient safety in mental healthcare, recognised safety concerns in mental healthcare include generic incidents, such as medication errors [ 12 ], and specialty-specific issues, such as self-harm or use of restrictive interventions [ 13 , 14 , 15 ]. Care in community-based mental health services may present distinct safety considerations. Lengthy waiting times; infrequent care encounters; and insufficient involvement of family carers in risk assessment, constitute particular concerns [ 5 , 7 , 16 , 17 ].

Historically, ‘patient safety’ has been appraised through a narrow clinical risk management lens [ 18 ]. This is pertinent in mental healthcare, where management of risks to self and others are key aspects of clinical practice [ 19 , 20 ]. That iatrogenic risks appear less widely considered, perhaps marks a distinction between mental healthcare and other health specialties [ 20 , 21 ]. Nevertheless, existing research demonstrates that service users can play a valuable role in safety improvement [ 22 ], and may conceptualise safety differently to healthcare providers [ 23 , 24 , 25 ]. Alongside providers, it is vital that service users and carers are involved both in defining ‘safety’ and in shaping meaningful improvement agendas [ 26 ]. Accordingly, the present study aimed to examine service user, carer, and healthcare providers’ subjective experiences and conceptualisations of ‘patient safety’ in community-based mental healthcare. Specifically, we sought to understand what ‘safe’ and, conversely, ‘unsafe care’ meant to these participant groups.

An exploratory design was adopted, involving semi-structured qualitative interviews and a single focus group with service users, carers, and healthcare providers. Participants took part in their choice of an individual interview or a focus group with others from the same respondent group. Compared to individual interviews, focus groups may yield additional layers of insight as a product of interaction between participants. Nonetheless, it is plausible that deeper understanding of individual participants’ subjective experiences may be achieved through individual interviews [ 27 ]. We expected that participants may describe distressing personal or professional experiences on the topic of patient safety problems in community-based mental health services. Therefore, presenting participants with the choice of an individual interview or a group discussion constituted an important ethical decision, allowing participants to take part in a format in which they felt most comfortable and able to speak with candour. Study methods were approved by a Welsh National Health Service (NHS) research ethics committee (IRAS ID: 279409) and prospectively registered (identifier: NCT04866693). Research reporting corresponds to the Standards for Reporting Qualitative Research [ 28 ].

Patient and public involvement

Through group workshops and individual consultations, seven service users and carers with lived experience of mental health services provided guidance on participant selection considerations, interview questioning, topic guide piloting, and refinement of participant-facing materials. A healthcare provider topic guide was also piloted and modified according to feedback from two clinicians. Based upon contributor feedback, we focused on both specialist and non-specialist mental healthcare provision, as general practitioner (GP) support represented the only care available for many people with mental health problems.

Participants and setting

Eligible participants had current or past year experience of contact with or employment within community-based mental health services for working-age adults within England, including primary care (e.g. GP support with psychotropic medication management) or specialist mental healthcare provision (e.g. community mental health team; CMHT input). Participants were required to be 18 years old or over and able to speak sufficient English to provide informed consent and to take part in an interview, owing to lack of resource for translation costs. Informed by comparable existing literature, where people from minority ethnic groups; male participants; and those with experience of severe mental illness (e.g. schizophrenia, bipolar disorder), have typically been underrepresented [ 5 , 6 , 7 , 29 ], targeted efforts were made to ensure that a diversity of voices were heard. Accordingly, we selected participants purposively according to gender, ethnicity, age, mental health diagnosis (if applicable), and service(s) experienced. All individuals who were screened for eligibility were informed of the possibility that they may not be recruited to the study, where we had already heard from multiple participants sharing similar characteristics. We notified those we were unable to recruit within two months of screening and ascertained their interest in being contacted should future involvement opportunities arise.

The decision to stop sampling was guided by ‘information power’ principles, an indicator of internal validity based on the notion that the greater the ‘information power’ a sample provides, fewer participants are needed for adequate analysis [ 30 ]. Adequacy of our sample was appraised according to multiple interrelated facets of ‘information power’, such as the breadth of our study aims, sample diversity, and data quality. The achieved sample was diverse in terms of participant characteristics and perspectives.

Data collection

Recruitment and data collection were conducted by one researcher (PA) over a nine-month period (May 2021—February 2022). Advertisement flyers were distributed within a local English NHS mental health trust. An open recruitment call saw flyers shared online, through newsletters, and via pre-established service user and carer engagement groups. Participants contacted the research team directly to express interest in participating in their choice of an individual interview or focus group discussion.

Consenting participants primarily took part virtually via videoconferencing software, although two interviewees opted to participate in person. Except for one focus group comprising seven healthcare providers, all other participants expressed a preference to take part in individual interviews ( n  = 36), lasting between 26 and 89 ( M  = 47) minutes. Separate topic guides for service users, carers, and providers were developed for this study and used flexibly to guide discussions (Supplementary Materials 1 , 2 , 3 ). Participants were first asked contextual questions, and then to define patient safety in their own language, reflecting approaches used in prior research [ 7 , 23 ]. Service users and carers were offered a £15.00 voucher for their contributions; and all participants were thanked and provided information about available sources of support, should they wish to seek support after taking part. Audio-recordings from interviews and the single focus group were transcribed verbatim and anonymised.

Methodological perspectives and reflexivity

Underpinned by critical realism, the ontological notion that reality exists, but that it is independent of human observation and cannot be accessed directly [ 31 , 32 ], participants’ narratives were examined as representations of reality shaped by subjective experiences. To generate knowledge on the topic under investigation, it follows that participants’ subjective representations of phenomena must be interpreted [ 33 ]. Within reflexive thematic analysis, the analytical approach adopted, researcher subjectivity is acknowledged as the primary tool for generating findings [ 34 ]. Analysis was undertaken primarily by one researcher (PA, White British female), with multiple coding on several transcripts conducted by a second researcher (BB, White British female). We recognise that our own experiences, along with the social, economic, and political context contemporaneous to this study will have shaped our analysis. The lead author (PA) is currently an outsider to all groups at the centre of this research, though has prior experience of working in unqualified positions within various inpatient mental health services, including settings which at times felt unsafe for service users and staff alike. The second author (BB), a qualified mental health nurse, has lived experience of using services and of working within community-based mental healthcare settings. These experiences undoubtedly shaped our interpretations of meaning within the present study. Likewise, we were conscious of additional barriers to delivering safe care that providers faced during the COVID-19 pandemic.

To examine patterns of meaning across the qualitative dataset, reflexive thematic analysis was conducted by the first author (PA) using methods outlined by Braun and Clarke [ 34 , 35 ]. Braun and Clarke’s approach to reflexive thematic analysis has been widely used within the psychological sciences and across a range of research disciplines; it emphasises the active and iterative role of the researcher in generating meaning through analysis [ 34 , 35 ]. The analysis was inductive and data-driven, comprising six phases (Table  1 ; phases 3–5 were performed recursively rather than linearly). First, audio-recordings, deidentified transcripts, and researcher notes were iteratively reviewed to gain familiarity with the dataset. Using NVivo software, transcripts were then systematically coded at semantic and latent levels, capturing both explicit and conceptual meanings (Supplementary Material 4 ). Multiple coding was conducted on three transcripts by a second researcher (BB) to explore alternative data interpretations, which were then discussed between both coders (PA, BB). Codes were further refined throughout the analysis and initial themes were generated through grouping of codes representing similar concepts or shared meanings. Theme fidelity was appraised against coded data extracts, resulting in reorganisation. Analytical progress was discussed regularly amongst all authors, and four themes were retained, defined, and labelled.

Participant characteristics

Of 97 expressions of interest received, 43 participants were recruited, comprised of 13 service users, 12 carers, and 18 healthcare providers. Participant characteristics are presented in Table  2 . A further fifty-four people who expressed interest in taking part were not recruited for the following reasons: omission to provide information required for eligibility screening ( n  = 27); not meeting study eligibility criteria, e.g. experience of services involved mental healthcare provision for children and adolescents ( n = 13 ); unable to schedule interview ( n = 2 ). According to our purposive recruitment strategy, an additional 12 people were not recruited where they shared characteristics with multiple other participants who had already taken part (e.g. female gender, White ethnicity).

Overview of findings

Four interpretative themes and several subthemes were developed, representing contrasting conceptualisations of patient safety in community-based mental health services (Table  3 ). Our thematic structure elucidates the ways in which notions of safety problems, their origins, and approaches to resolution were positioned within participant narratives. Each theme depicts a contrasting discourse as to whether safety risks are: (1) driven by systemic challenges; (2) by service users; (3) by responsible care teams; or (4) surmountable with an ambitious safety agenda, centred on outcomes of importance to service users and carers. These ideas are not mutually exclusive: participants typically espoused views aligning with several themes as their conceptualisations of ‘safe care’ evolved throughout discussions.

Theme 1: systemic inertia: threats to safety

The first theme sets out the position that complex, systemic issues make community-based mental healthcare less safe. Accordingly, ‘unsafe care’ is presented as the product of these ingrained challenges. Healthcare providers appeared to situate systems-level challenges as beyond their own locus of control, at times apportioning responsibility to other care teams. However, whilst recognising entrenched safety threats within ‘the system’, service users and carers did not view individual providers and care teams as entirely blameless or external to their causation. All participant groups nevertheless faced the same experiential outcome: a shared sense of powerlessness.

Timely access was central to conceptualisations of safe care:

It’s not about panic buttons and CCTV. How about making mental healthcare available to people when they need it?’ (Carer, CMHT, individual interview)

Negotiating service access, from GP consultations through to crisis care, was likened to ‘moving mountains’ (Carer, Crisis team, individual interview). Access appeared contingent upon the advocacy of carers, who acquired expertise in the language of service navigation:

You have to say the words that get people moving: ‘risk’, ‘harm’, ‘complaint’, ‘crisis’…words you have to know to get something done. (Carer, Crisis team, individual interview)

Delayed, mismanaged, and inappropriately rejected referrals to specialist community-based mental health services constituted a particular obstacle to safe care, seemingly contributing to deterioration, hopelessness, and self-harm. For apparent mood disorders, GPs were obliged to evidence trialling several unsuccessful prior treatments for referral acceptance. For one individual, accurate diagnosis (bipolar disorder) and appropriate treatment were delayed, owing to late entry into specialist services:

It took years of fiddling with medications [in primary care] before I got to see a psychiatrist and in that time this life that I’d been trying to hold onto imploded. (Service user, CMHT, individual interview)

Once the case for referral was established, lengthy waits for assessment and initial outpatient consultations introduced further risks. These waiting periods were a collective concern. However, providers were thought not to appreciate the gravity of such delays:

Time is the enemy here…I don’t think they understand how each setback and every single delay, it just makes it more likely that my partner’s going to die. (Carer, CMHT, individual interview)

Access challenges were not resolved upon entering specialist mental health services. Waits spanning months to several years for autism assessments, or specialist psychological therapies, further obstructed safety. Moral injury—distress or internal conflict triggered by situations which contravene a provider’s personal or professional principles—was apparent where service users needed urgent input, yet providers perceived limited capacity to alleviate delays:

It feels like you are condemning someone to deteriorate because you’re putting them on such a long waiting list and contributing to their hopelessness…I think it does raise people’s risk of self-harm, of deterioration. Puts people in harm’s way really. (Clinical psychologist, Crisis team, individual interview)

Moreover, participant narratives suggested that care intensity was inadequate for maintaining safety and preventing harm. Staffing time limits, alongside closures of voluntary sector resources and day centres, meant that providers struggled to offer suitable support. Consequently, patient safety and public safety incidents were foreseeable:

I just don’t feel like we’re meeting his needs…a bit more input and attention might have avoided these situations blowing up. (Nurse, CMHT, focus group)

Service users and carers often communicated notions of ‘patient safety’ through the lens of feeling safe or unsafe within interactions with providers, or the community-based mental healthcare system as a whole. System-driven shortfalls in care provision seemed to threaten service users’ psychological sense of safety. This was particularly pertinent in conversations about crisis care:

I worry it will become so out of control because I didn’t get help soon enough…they won’t do anything and won’t notice, and I’ll just be gone in my mind (Service user, CMHT, individual interview)

Imbalances between demands for care and service offer were especially apparent in emergency situations. Crisis care, including out-of-hours provision, was characterised as inaccessible or insufficient to avert immediate safety risks. Challenges in reaching the crisis team via telephone, or refusals to conduct home visits, meant service users and carers felt unsafe. Even where daily care was provided, participants regarded crisis team care as an ineffective alternative to hospitalisation:

If they’re only there for one hour of one day…they can’t physically prevent you from killing yourself. (Carer, Crisis team, individual interview)

‘Falling through the gaps’ could be regarded as a further system-driven safety threat. ‘Gaps’ ranged from concrete and tangible, including a lack of services to meet service users’ needs, through to the relational, reflecting communication divides between care teams. ‘Gaps’ also manifested conceptually, characterising subjective experiences of powerlessness in the face of service exclusion.

Communication breakdowns were intimately linked to patient safety, emerging in verbal handovers; through documentation errors; or stemming from the design of formal information-sharing channels (e.g. lack of shared electronic patient records). For those under multiple services, communication challenges operated at organisational interfaces between primary care, specialist mental health services, and social care, contributing to care delays, omitted medications, and mistrust of services. To improve safety, there were calls to strengthen interprofessional relationships between services:

It is dialogue between primary and secondary [specialist] mental health services that should improve because we hardly have interactions with them apart from referrals. We don’t get to know them. (GP, Primary care, individual interview)

‘Falling through the gaps’ also arose from service organisation and patient flow. Gaps in commissioned care pathways resulted in service exclusion, including for individuals whose problems appeared too complex for primary care input, yet not severe enough to warrant specialist care. Poor cooperation between services was a product of workload pressures, manifesting in excessive gatekeeping, with some patients receiving no care at all:

Tying care together is much more challenging, because everyone is pressurised, every service tends to ringfence what they’re prepared to provide…The number of service users who are unable to access any care at all, it’s really difficult. (Nurse, CMHT, individual interview)

Impacts of service divisions were evident. It seemed that providers avoided delivering interventions requiring between-service multidisciplinary collaboration, including physical healthcare provision for people with severe mental illness. There was a tendency for siloed working, meaning that service users’ care was not cohesive:

90% of the people in my clinic will be on dreadful polypharmacy…the burden of side effects is horrendous, the interactions are dreadful, and the problem is, nobody will take responsibility and technically it’s not my job either. (Pharmacist, Specialist medication clinic, individual interview)

Care transitions were viewed as equally fraught; premature or poorly coordinated discharges jeopardised service user progress. Nevertheless, responding to pressure from service managers, providers recognised their own role in discharging patients before they were ready:

Loved ones start calling and say, ‘What are you people doing?…I don’t want to discharge, I am wanting to continue. (Nurse, CMHT, individual interview)

Service users’ sociodemographic and clinical characteristics appeared interrelated to their service navigation experiences. Care quality corresponded to social class; those regarded as articulate or well-presented reportedly received better standards of care. Care journeys for Black service users were characterised more-so by police involvement and restrictive practices, relative to White patients:

There are also the different pathways to care, how our ethnic communities perceive our systems, the fear of the psychiatric system…If you’re a Black family, you’re far more likely to have longer duration of untreated psychosis for your loved one…then you’re far more likely to call the police. (Clinical psychologist, CMHT, focus group)

Ethnicity-based preconceptions also appeared to shape the care offered to Asian patients:

Asian women, I don’t think we’re perceived as a danger to society…And of course, to get treatment, you have to be a danger to yourself or someone else. (Carer, Crisis team, individual interview)

Similarly, personality disorder diagnoses underpinned stigmatisation and service exclusion, with recurrent risks unaddressed:

They’ve said they’ll never take me back with the same presentation, which is self-harm. I’m not going to morph into someone with psychosis, so whatever risk I present, they’re not going to respond. (Service user, Primary care, individual interview)

Additional system-drivers of harm included chronic workforce underinvestment. Staffing shortages seemingly arose from long-term disinvestment from community teams, causing unmanageable workloads, which damaged recruitment and retention efforts. Whilst inpatient services are limited by bed availability, community-based providers experienced uncapped caseloads, exceeding safe limits:

These wonderful people trying to do their best with limited resources…when I have been let down, it’s not them…it’s the institution letting me down. (Service user, CMHT, individual interview)

Workforce underinvestment explained inadequacies in staff training and skills mix. Knowledge about psychotropic medications amongst care teams was thought inadequate. Risk assessment and management expertise were also considered lacking. Experience and seniority levels within community teams were understood to have declined over time, with inexperienced staff increasingly delivering care in high-risk situations.

Participant accounts suggested that policies and procedures resulted in further safety vulnerabilities. Administrative tasks aimed at monitoring safety, including incident reporting, equipment audits, and extensive paperwork, were thought to detract from time to deliver safe care:

Our performance is measured upon our completion of forms, rather than the risks that we’ve managed over the month… (Occupational therapist, CMHT, focus group)

Moreover, workarounds to staff safety protocols were necessary, including disregarding lone working protocols to ensure that service users were actually seen. Compromising one’s own safety appeared unavoidable in the face of unmanageable caseloads.

Another perceived mismatch between healthcare policy and achieving safety related to the UK Mental Health Act. Beyond challenges in securing police attendance at assessments and hospital bed availability, there were tensions between upholding human rights whilst preventing patient harm. Providers must wait for those declining treatment to become unwell enough to warrant detention and hospitalisation. Within this period, harmful outcomes included patient arrests, or involvement in an assault, possibly preventable with earlier hospitalisation. Legislation reforms worried carers, who feared increased thresholds for involuntary treatment:

Being sectioned, it’s not the most fun experience, but it does mean you get treated. But they’re bringing in the new White Paper. It’s going to be even harder to get her sectioned, so she might be facing a lifetime of illness. (Carer, Crisis team, individual interview)

Participant accounts suggest that efforts to deliver ‘safe care’ within community-based mental health services were rendered untenable owing to seemingly insurmountable systems-level issues. Local and distal challenges including insufficient resources, staffing shortfalls, and poorly joined-up services, constrained service users’ prospects of accessing timely, appropriate, safe care. Patient safety appeared to be compromised actively, through necessitating violations of unworkable policies, but also in more subtle ways, through communication disconnects; inequities in service access for specific patient groups; and erosion of workforce morale and resilience.

Theme 2: managing the risks service users present

Aside from systems-generated safety risks, ‘patient safety’ in community-based mental healthcare was equated to the management of risks originating from service users. Indeed, a second theme ‘Managing the risks service users present’ , characterises a seemingly dominant perception that ‘safe care’ provision in this context is that which mitigates the risks of harm service users may pose to themselves or others when unwell. Risk of harm to self was a recurrent topic, including self-neglect, self-harm, and suicide. Although infrequent, risks to others of rare acts of violence were also raised. It appears that staff had limited tools for community prevention of violence, yet these incidents were contextualised in terms of care that is ‘unsafe’:

Unsafe mental healthcare could come from different means. Either the client is not engaging, or the risk associated with clients…did anyone call that the client is shouting along the road or tried to attack somebody? (Nurse, CMHT, individual interview)

Risks to service users from those around them were also described, including physical, sexual, and financial abuse. Family members who discouraged medication adherence presented further threats to safety. Oversight of such risks was considered a key function of safe mental healthcare:

In the thick of it in the community, you are in this incredibly vulnerable spot and that’s why we have things like care coordinators, so that they can keep an eye on you. (Service user, CMHT, individual interview)

Whilst ‘patient safety’ was framed predominantly as the inverse of ‘risk’, staff sometimes drew subtle distinctions between the two. Whether suicide constituted a safety incident was debated, in scenarios where providers deemed it beyond service prevention. Nuances were evident in sense-making about patient safety in this care context:

When you mention ‘patient safety’ within mental healthcare, my mind thinks about what is their risk of harm to themselves or others? Whereas ‘safe mental healthcare’ is where we are looking at providing appropriate or effective mental healthcare for their needs. It’s got two connotations in how it can be measured. (GP, Primary care, individual interview)

Likewise, ‘holding’ risk dominated conversations about community safety. Carers’ accounts suggested that they were insufficiently supported to maintain patient safety at home, holding risks such as self-neglect, or active suicidal intent. Although often excluded from formal safety planning, it appears that carers were positioned as part of the service user’s care team, relied upon to fill gaps within the care system and to navigate risk:

No one gave me any training, ’If she refuses her meds, if she doesn’t want to eat, this is the best way to approach it’…I didn’t have a clue. (Carer, CMHT, individual interview)

Beyond carers, providers were similarly apprehensive about assuming responsibility for risks. Community staff perceived greater individual accountability for risk relative to inpatient care teams. The burdens of clinical decision-making in high-risk situations were evident:

You hold those risks of patients going into crisis, harming themselves, harming other people…you hold that risk almost on your own…it’s only your clinical judgement keeping that person safe. (Nurse, CMHT, focus group)

Throughout participant accounts, it appeared that service users were positioned as inherently ‘unsafe’. It can be contended that risks were deemed to arise from service users, rather than the processes of healthcare itself. Key tensions can be discerned within this discourse: the extent to which risks could feasibly be averted within the structures of community care was unclear. Nevertheless, participant narratives suggest that the prevention of such harms by services should be considered a fundamental tenet of ‘safe care’.

Theme 3: more than responding to risks: everyone plays a role in creating safety

Beyond safety problems stemming from the system itself, or risks presented by users within it, a third theme recognises providers’ agency in contributing to safety. Within this theme, the creation of ‘safety’ can be regarded as a dynamic process, where it is acknowledged that ‘everyone’ (individual providers, care teams, and wider services) has the potential to cause or mitigate harm, but also to proactively influence the delivery of safe care.

It’s easy to say, ‘I didn’t cause someone harm’, but there needs to be more reflection on ‘Well what more could you have done to prevent that? (Carer, Crisis team, individual interview)

That contact with services could inadvertently cause harm appeared an accepted truth. Overt harm precursors included errors (e.g. incorrect medication), and protocol breaches, such as a failure to follow-up patients newly prescribed with antidepressants:

A regular number of people are taking their own lives, who have been recently prescribed an antidepressant and they’ve not had follow-up monitoring as per NICE guidance…those deaths are completely avoidable. (Pharmacist, Specialist medication clinic, individual interview)

Iatrogenic consequences of psychotropic medication, including weight gain-induced complications, sleep disturbances, and elevated blood pressure, were prominent concerns. In several cases, medications caused new physical health conditions (e.g. quetiapine-induced diabetes). There was a sense that prescriber opinions were privileged over service users’ lived experience:

Each time I see the psychiatrist, he will prescribe more drugs, he fails to listen to you first…about your side effects, about internal experiences that are horrible…he brings your medication, injects it into you, then he goes. (Service user, Community outreach and rehabilitation service, individual interview)

Failure to respond to patient deterioration, including reactive responses to accumulating safety risks, were described recurrently. Service users and carers were seemingly powerless to ensure their concerns were addressed:

He [psychiatrist] didn’t seem to appreciate the severity of my dad’s symptoms…it is so challenging to advocate for yourself because there’s such a power imbalance (Carer, Crisis team, individual interview)

Subtle manifestations of harm appeared widespread, including providers’ failures to meet commitments. This included appointment non-attendance or cancellation, or simply ceasing contact with service users without explanation. The latter occurred during long-term staff sickness absence, where there were no safeguards to ensure caseload reassignment. Equally, experiences of psychological harm were common. The potential for each care encounter to have therapeutic value was recognised by all participant groups and thought vital to maintaining safety:

What you want is staff who have good, positive relationships with patients. That is what keeps people safe. (Social worker, CMHT, individual interview)

Negative patient-provider interactions led to patients losing trust in services, non-disclosure of care-relevant information, or service avoidance. Service withdrawal following a harmful encounter occurred for varying reasons, including fears of involuntary treatment:

I don’t want her to be sectioned again, I don’t want them to decide she’s better off in the unit because she prefers to be at home, it’s safer for her… (Carer, CMHT, individual interview)

Also within this theme was the position that safer care can be achieved through proactive approaches to care delivery, emphasising harm prevention through planning, team working, and collaboration with service users and carers:

That time for safety, you just don’t find it. If you think about the time that you spend doing incident reports or, reading complaints…so yeah, I would have those safety mechanisms early on. (Psychiatrist, CMHT, individual interview)

Aspirations to mitigate harm were evident. One preventative strategy involved allocating more time resource at the outset (e.g. investing time into clinical formulation, learning from prior treatment history), rather than in response to something going wrong. Other examples of frontloading care included proactive medication monitoring, averting safety problems before they arose. In the case of lithium treatment, toxicity was prevented through reviewing longitudinal lithium level trends, instead of individual results in isolation. Service users were also educated on toxicity signs, encouraging timely support-seeking.

Communication systems appeared vital to planning for safety. Electronic patient record systems were paramount to effective information sharing, despite challenges in navigating large volumes of information recorded in different locations. The importance of documenting safety information so that it is meaningful to all providers, was explored:

When I’m documenting risks, that person might turn up to A&E [Accident and Emergency department], might be an inpatient, or might go to the home treatment team…I need to do it in a way that conveys easily that information, so you get a narrative of the patient, rather than a shopping list. (Psychiatrist, CMHT, individual interview)

Related to communication were the merits of team working for strengthening safety. ‘Zoning meetings’, where service users are classified according to risk and care needs, helped to prioritise interventions at team-level, supporting staff in caring for service users presenting with complex needs. Likewise, safety huddles were used proactively within primary care practices.

Service user’ and carer’ narratives suggested a similar endorsement of a proactive safety outlook. Harmful outcomes of deterioration, such as involuntary hospitalisation, breakdown of family relationships, or loss of dignity, were deemed avoidable with timely service intervention. Indeed, safety planning was thought most effective when designed whilst an individual was relatively well, rather than in crisis. It appeared that active involvement of service users and carers in crisis mitigation restored confidence and indicated mutual respect:

I have to give credit to the new psychiatrist my brother has been seeing…he decided to take the risk and he asked me, ‘Do you think it’s better just to be sent straight away to the hospital, or maybe just give him a chance?’…I said, ‘Okay, I’ll be home with him, let’s not lose what we actually achieved over these months. (Carer, CMHT, individual interview)

The above outlined theme, representing a third conceptual component of ‘safe care’, presents clear points of distinction from the preceding themes. Indeed, beyond apparent latent risks to safety which providers inherit from the systems they are required to operate within, or risks which surround service users, the agentic role of providers in ensuring that care is safe is clearly acknowledged. These findings highlight the propensity of providers, teams, and services to impact patient safety, both positively and negatively.

Theme 4: the goals of ‘safety’: our destination is not yet in sight

Marking a fourth element of participant characterisations of ‘patient safety’ in community-based mental health services, a final theme sets out a position that the pursuit of ‘safe care’ is a work in progress. Indeed, according to participant narratives, this theme depicts the breadth of change required to reach a point of safety: ‘our destination is not yet in sight’. Beyond managing risks and preventing deterioration, this theme presents the ideological stance that ‘safe’ mental healthcare provision is that which strives towards goals which meaningfully improve service users’ lives.

I don’t for one minute think that those people are causing him direct harm. But by indirect behaviour they are causing him harm…that harm is he’s not progressing, he’s not developing. (Carer, Dual diagnosis supported accommodation services, individual interview)

It appeared that safety was compromised by a preoccupation with managing incident outcomes, rather than addressing their causation. Basic wound care or liver function assessment sometimes constituted the only follow-up interventions provided after self-harm or suicide attempts, at the expense of compassionately exploring underlying distress. Services were seemingly oriented towards managing risks, lacking focus on promoting service user resilience and long-term care goals. Instead, respondent accounts are indicative that patient stabilisation was regarded as the treatment endpoint:

No one said ‘What do you want to achieve? How can we help you? (Carer, Crisis team, individual interview)

Beyond calls to re-examine the objectives of ‘safety’ in community mental healthcare, safety improvement priorities were widely explored. Enhancing care access could be regarded as a unanimous goal. Faster, streamlined routes into specialist services were deemed vital for promoting recovery. Accordingly, ineffective triage processes, crisis care, and out-of-hours care, were regarded as vital system-wide foci for safety improvement.

Further safety improvement priorities concerned care transitions and joint working between services. A higher intensity of support was considered essential for safer transitions across the inpatient-to-community interface, and from specialist community services into primary care. Proactive service follow-up was considered a vehicle for safer transitions, allowing timely monitoring for relapse signs:

Even if it’s like in a month or two…If you have that follow-up…you will be able to pick things up before it gets bad. (Service user, Specialist psychological therapy service, individual interview)

Where multiple teams were involved in a person’s care, participant accounts suggest that strengthening provider-collaboration was a safety priority. Relationships between staff in primary care and specialist services were strained by perceived reluctance on part of the other service to accept referrals or discharges. The need for improved cooperation was voiced:

We really do need to bring primary and secondary [specialist] care services closer together, to be working more with each other rather than this ‘us and them’ scenario. (Specialist pharmacist, Primary care, individual interview)

Improved joint working was also raised in relation to people at risk of service exclusion. These individuals often had multiple complex needs (e.g. severe mental illness and co-morbid substance use problems). There were calls for practical, cooperative, patient-centred approaches to planning care:

People might fall in theory into two or three services or none…It might be a negotiation, ‘Okay, this time I take this person, next time you take the case. (Psychiatrist, CMHT, individual interview)

Service user and carer support resembled a further safety improvement priority. It was proposed that service users could better maintain their own safety with individualised, co-produced, up-to-date safety plans, incorporating advanced planning for relapses. Carers similarly needed guidance for keeping service users safe (e.g. in lethal means restriction for suicidal individuals), but discerned a lack of provider willingness to offer such support:

Someone should come up with a plan to make sure carers have proper training…They need certain skills and they’re not given skills, and no-one wants to listen to them or encourage them. (Carer, CMHT, individual interview)

Medication safety represented a final safety priority. It was apparent that education on antidepressant use and prescription marked a key concern for respondents. Prescribers identified medication counselling needs on the risks of premature discontinuation of antidepressants upon perceiving no therapeutic benefit. Similarly, carers considered antidepressants to be prescribed too readily, without educating people about potential negative side-effects (e.g. suicidal thoughts) upon initial treatment:

They hand out antidepressants, whenever they feel like it. Without any recourse to ‘Is this person going to be susceptible to problems with these drugs? (Carer, Assessment and treatment team, individual interview)

Medication non-adherence could be regarded as an important early indicator of risks to safety. Given the narrow therapeutic range of many psychotropic medications, where dosage and timeliness are essential, the absence of mechanisms to detect when medications were not ordered or collected concerned participants. Where GP practices had in-house pharmacies, alerting systems were proposed to mitigate risks of delayed or omitted medications.

Moreover, medication interaction burden was another area warranting closer attention. Improved prescriber awareness of the potential for harm was considered an important prerequisite to reducing risk. Accordingly, a participant discussed developing a bespoke form within the electronic health record system, prompting clinicians to reflect on risks introduced by their prescribing, inviting consideration of alternative treatment approaches:

Once you’ve listed your drugs, then you have to list the potential interactions, and a suggestion of how you might want to manage that (Pharmacist, Specialist medication clinic, individual interview)

Although service users, carers, and providers alike indicated support for patient-centred care planning and delivery, there were seemingly differences between participant groups in views on how this is achieved in practice. It can be contended that patient safety is compromised owing to an apparent lack of ambition on part of providers to strive towards meaningful, recovery-oriented goals, which support service users to approach their own vision of ‘getting better’. Beyond the treatment of clinical symptoms alone, recovery approaches to mental illness are concerned with “the processes by which people experiencing mental illness can develop a purposeful and meaningful life” [ 36 ]. Recovery can be considered a deeply individual journey, characterised by connectedness; hope and optimism about the future; a positive sense of identity; meaning in life; and empowerment [ 37 ]. Indeed, service user’ and carer’ accounts implied that ‘safe care’ could not be realised where the objectives of community-based mental healthcare were limited to achieving stabilisation and preventing deterioration alone. Tangible avenues for improving patient safety within this care context are evident within participant narratives.

This study articulates the multifaceted ways in which service users, carers, and providers conceptualise ‘safe care’ and, conversely, ‘unsafe care’ in community-based mental health services in England. Upon incorporating wider stakeholder perspectives, our findings suggest that the remit of patient safety and objectives for its improvement expand beyond mere efforts to manage risks. Indeed, aligned with mental health services research conducted primarily within inpatient contexts [ 9 , 38 ], or mixed settings [ 7 ], service users often framed safety subjectively in terms of feeling safe. Although the management of risks to self, to others, and from others, when unwell is recognised as a core component of patient safety (Theme 2), we posit that this dominant perspective alone is incomplete. Threats to ‘safe care’ were apparent first and foremost at mental healthcare systems-level (Theme 1). Whether care is ‘safe’ is also contingent upon the actions, or inaction, of providers (Theme 3). Moreover, we hold that ambitious safety agendas, giving primacy to goals which meaningfully improve service users’ lives, are required for the achievement of ‘safe care’ (Theme 4).

Consistent with findings from non-psychiatric hospital-based settings [ 23 ], participants were unaccustomed to considering the meaning and connotations of ‘patient safety’ in the present service context. Surprisingly, this was true of all participant groups, including providers, perhaps reflecting the dominance of inpatient settings in current discourses and initiatives aimed at improving safety in mental healthcare [ 39 ]. Well-evidenced iatrogenic harms within these settings (e.g. physical restraint, seclusion) [ 10 ], are possibly particularly salient to service users, carers, and staff alike. Nevertheless, from a point of uncertainty, participants refined their conceptualisations of safety throughout the interviews.

Theme one findings illustrated that systemic conditions result in care which departs from safe practice. Mirroring conclusions of the annual NHS community mental health survey [ 40 ], service access was a prominent concern, where care delays risked potentially severe consequences for deteriorating patients. Apparent inequities in care access, corresponding to sociodemographic and clinical characteristics, contributed to a sense of ‘falling through the gaps’. That participants deliberated on disparities in care for service users from Black backgrounds was perhaps unsurprising, given evidenced inequities in experiences of mental health services. Indeed, delayed access to specialist services and higher rates of compulsory treatment, are salient examples of adverse experiences faced by Black communities [ 41 , 42 , 43 , 44 ]. In contrast, intersections between ethnicity and access for Asian women, as voiced by participants, are less well-documented amongst the literature and warrant exploration in further research. Issues in recruiting and retaining staff further undermined patient safety, culminating in a less experienced and insufficiently supervised workforce, as described in existing research [ 45 ]. Finally, key healthcare policies, including the UK Mental Health Act, presented challenges for providers in the balance between upholding human rights and preventing harm to patients.

A second position characterised ‘safe care’ as the management of risks originating from service users. Prior research indicates that risk and safety are treated as equivalent concepts by mental health services staff [ 19 , 46 ]. Risks of harm from others in the community (e.g. physical, sexual, financial abuse) indicate setting-specific safety challenges within mental healthcare. Moreover, although carers felt left to hold risks, they were seldom involved in proactive safety planning; essential for improving safety in community-based care [ 16 , 47 ].

Provider agency in harm causation or mitigation was recognised in a third theme. Overt unsafe practices (e.g. protocol breaches) were less widespread than other less measurable harms (e.g. psychological harm). Finally, a fourth theme set out visions for the future of patient safety within community-based mental healthcare, contending that supporting service users to live fulfilling lives must be considered within the remit of ‘safe’ care, consistent with research capturing nursing perspectives [ 17 ]. This finding provides backing to calls for patient-directed safety targets [ 47 ], and resonates with recovery principles [ 37 ]. Indeed, in the context of the ongoing transformation of community-based mental healthcare in England in efforts to deliver integrated place-based care [ 48 ], patient safety considerations within voluntary sector and social care services will become increasingly important, warranting attention in future research.

Strengths and limitations

We detail novel insights into how ‘safety’ is conceptualised by those who use or deliver care within community-based mental health services, illuminating plausible safety improvement foci. Key strengths lie in our study sample, diverse in participant characteristics including ethnicity, diagnosis, and service experience, where sampling was guided by information power principles [ 30 ]. Moreover, we hold that the reflexive approach to data analysis adopted, positioned in relation to our own experiences, constitutes an additional strength of this work. However, although our findings are not limited to a single region or NHS trust, almost two-thirds of participants were London-based. Accordingly, we may not have adequately captured geographical disparities in safety experiences, including the concerns of rural communities. Overall, we noted a preference amongst participants to take part in an individual interview. As such, whilst our findings present a rich picture of individuals’ subjective experiences, it is possible that further insights yielded from interaction between participants may have been gained had we have been able to conduct focus groups with service users and carers. Although we believe that service user and carer involvement in shaping the research methods and focus resembles a strength of this study, we recognise that a more extensive approach to patient and public involvement throughout the research cycle may have improved this work [ 49 ]. In future research examining the safety of mental healthcare, training of lived experience co-researchers in qualitative interviewing, analysis, and interpretation may introduce valuable new perspectives on this topic. Such methods were beyond the limits of available resource for the present study, which formed part of a PhD project. Taking the findings of this study as a starting point, we believe that equitable co-production partnerships with service users and carers will be particularly important in any follow-on research aiming to develop interventions to improve patient safety in this context [ 50 ].

Implications

This study supplements recently emerging literature exploring the specifics of patient safety in community-based mental health services [ 16 , 17 ], expanding upon existing research by integrating service user, carer, and provider perspectives. Our findings offer a reimagining of ‘safe care’ in this service context, transcending narrow safety definitions and risk management agendas, which have dominated patient safety discourse [ 25 , 26 ]. Safety improvement priorities, as identified by participants, warrant examination in future research, to move the field towards effective safety interventions.

There was striking overlap between the safety shortfalls participants recounted and recommendations from a suicide reduction toolkit for primary care and specialist mental health services providers [ 51 ]. For example, timely post-discharge follow-up; 24-hour crisis care access; and carer involvement, constituted key recommendations. Beyond associations with lower suicide rates [ 52 , 53 ], full implementation of these recommendations may plausibly help to drive wider improvements in service safety.

In illustrating safety problems alongside examples of system resilience where safe care is successfully delivered, our findings correspond to both Safety-I and Safety-II paradigms [ 54 ]. Participants identified opportunities for optimising practice to improve service resilience, yet service pressures and efforts to manage the consequences of things going wrong (Safety-I), impacted provider capacity to engage in proactive planning for safety (Safety-II). Taken together, this underlines the importance of continued efforts to improve staffing and skills development, which will afford healthcare providers the time and expertise to deliver safer care.

The present research provides nuanced insights into the ways in which service users, carers, and healthcare providers conceptualise ‘patient safety’ within community-based mental healthcare, where extant research has primarily explored safety within inpatient mental healthcare settings only. Our findings indicate that participants conceived of ‘safe care’ in multiple contrasting, yet not mutually exclusive, ways. Dominant risk management narratives, which focus on those risks emanating from service users themselves when unwell, characterised one aspect of patient safety only. Indeed, systemic conditions were thought to culminate in mental healthcare provision which diverges from safe, effective clinical practice. Beyond these entrenched, systems-level challenges, participants nevertheless recognised the propensity of healthcare providers to cause or circumvent harm. Finally, this research highlights a vital need to pursue goals which are meaningful to service users in the shaping of safety improvement agendas within mental healthcare, indicating a range of potential foci for future interventional research.

Data availability

The dataset generated and analysed within the current study is not available for sharing and is not publicly available. Consent for data sharing was not sought from research participants and was not agreed as part of the research ethics committee approval obtained for this research. Queries about these data may be directed to the corresponding author.

Abbreviations

Accident and Emergency department

Community Mental Health Team

General Practitioner

National Health Service

World Health Organization. Global Patient Safety Action Plan 2021–2030. 2021. https://www.who.int/publications/i/item/9789240032705 . Accessed 12 Dec 2022.

Brennan TA, Leape LL, Laird NM, Hebert L, Localio AR, Lawthers AG, et al. Incidence of adverse events and negligence in hospitalized patients. N Engl J Med. 1991. https://doi.org/10.1056/NEJM199102073240604 .

Article   PubMed   Google Scholar  

Howell AM, Burns EM, Bouras G, Donaldson LJ, Athanasiou T, Darzi A. Can patient safety incident reports be used to compare hospital safety? Results from a quantitative analysis of the English National Reporting and Learning System data. PLoS ONE. 2015. https://doi.org/10.1371/journal.pone.0144107 .

Article   PubMed   PubMed Central   Google Scholar  

Leape LL, Brennan TA, Laird N, Lawthers AG, Localio AR, Barnes BA, et al. The nature of adverse events in hospitalized patients. N Engl J Med. 1991. https://doi.org/10.1056/NEJM199102073240605 .

Albutt A, Berzins K, Louch G, Baker J. Health professionals’ perspectives of safety issues in mental health services: a qualitative study. Int J Ment Health Nurs. 2021. https://doi.org/10.1111/inm.12838 .

Berzins K, Baker J, Brown M, Lawton R. A cross-sectional survey of mental health service users’, carers’ and professionals’ priorities for patient safety in the United Kingdom. Health Expect. 2018. https://doi.org/10.1111/hex.12805 .

Berzins K, Baker J, Louch G, Albutt A. A qualitative exploration of mental health service user and carer perspectives on safety issues in UK mental health services. Health Expect. 2020. https://doi.org/10.1111/hex.13025 .

Cutler NA, Sim J, Halcomb E, Stephens M, Moxham L. Understanding how personhood impacts consumers’ feelings of safety in acute mental health units: a qualitative study. Int J Ment Health Nurs. 2021. https://doi.org/10.1111/inm.12809 .

Stenhouse RC. Safe enough in here? Patients’ expectations and experiences of feeling safe in an acute psychiatric inpatient ward. J Clin Nurs. 2013. https://doi.org/10.1111/jocn.12111 .

Thibaut B, Dewa LH, Ramtale SC, D’Lima D, Adam S, Ashrafian H, et al. Patient safety in inpatient mental health settings: a systematic review. BMJ Open. 2019. https://doi.org/10.1136/bmjopen-2019-030230 .

D’Lima D, Crawford MJ, Darzi A, Archer S. Patient safety and quality of care in mental health: a world of its own? BJPsych Bull. 2017. https://doi.org/10.1192/pb.bp.116.055327 .

Ayre MJ, Lewis PJ, Keers RN. Understanding the medication safety challenges for patients with mental illness in primary care: a scoping review. BMC Psychiatry. 2023. https://doi.org/10.1186/s12888-023-04850-5 .

Cusack P, Cusack FP, McAndrew S, McKeown M, Duxbury J. An integrative review exploring the physical and psychological harm inherent in using restraint in mental health inpatient settings. Int J Ment Health Nurs. 2018. https://doi.org/10.1111/inm.12432 .

Innes J, Curtis D. Medication patient safety incidents linked to rapid tranquillisation: one year’s data from the National Reporting and Learning System. J Psychiatric Intensive Care. 2015. https://doi.org/10.1017/s1742646413000277 .

Article   Google Scholar  

James K, Stewart D, Wright S, Bowers L. Self harm in adult inpatient psychiatric care: a national study of incident reports in the UK. Int J Nurs Stud. 2012. https://doi.org/10.1016/J.IJNURSTU.2012.04.010 .

Ayhan F, Üstün B. The opinions and practices of health professionals in community mental health centers on risk assessment. J Psychiatric Nurs. 2021. https://doi.org/10.14744/phd.2021.08769 .

Sundin R, Nilsson A, Waage-Andrée R, Björn C. Nurses’ perceptions of Patient Safety in Community Mental Health settings: a qualitative study. Open J Nurs. 2015. https://doi.org/10.4236/ojn.2015.54042 .

Lachman P, Brennan J, Fitzsimons J, Jayadev A, Runnacles J. Resilience theory, complexity science, and Safety-II. In: Lachman P, Brennan J, Fitzsimons J, Jayadev A, Runnacles J, Lachman P, et al. editors. Oxford Professional Practice: Handbook of Patient Safety. Oxford University Press; 2022. pp. 101–10.

Coffey M, Cohen R, Faulkner A, Hannigan B, Simpson A, Barlow S. Ordinary risks and accepted fictions: how contrasting and competing priorities work in risk assessment and mental health care planning. Health Expect. 2017. https://doi.org/10.1111/hex.12474 .

Higgins A, Doyle L, Downes C, Morrissey J, Costello P, Brennan M, et al. There is more to risk and safety planning than dramatic risks: Mental health nurses’ risk assessment and safety-management practice. Int J Ment Health Nurs. 2016. https://doi.org/10.1111/inm.12180 .

Averill P, Vincent C, Reen G, Henderson C, Sevdalis N. Conceptual and practical challenges associated with understanding patient safety within community-based mental health services. Health Expect. 2023. https://doi.org/10.1111/hex.13660 .

The Health Foundation. Involving patients in improving safety. London: The Health Foundation. 2013. https://www.health.org.uk/publications/involving-patients-in-improving-safety . Accessed 4 Mar 2020.

Barrow E, Lear RA, Morbi A, Long S, Darzi A, Mayer E, et al. How do hospital inpatients conceptualise patient safety? A qualitative interview study using constructivist grounded theory. BMJ Qual Saf. 2023. https://doi.org/10.1136/bmjqs-2022-014695 .

Cutler NA. What does safety in acute mental health units mean for consumers? University of Wollongong; 2021. https://ro.uow.edu.au/theses1/1162/ . Accessed 21 Nov 2022.

Delaney KR, Johnson ME. Inpatient Psychiatric nursing: why Safety must be the Key Deliverable. Arch Psychiatr Nurs. 2008. https://doi.org/10.1016/j.apnu.2008.09.003 .

O’Hara JK, Lawton RJ. At a crossroads? Key challenges and future opportunities for patient involvement in patient safety. BMJ Qual Saf. 2016. https://doi.org/10.1136/bmjqs-2016-005476 .

DiCicco-Bloom B, Crabtree BF. The qualitative research interview. Med Educ. 2006. https://doi.org/10.1111/j.1365-2929.2006.02418.x .

O’Brien BC, Harris IB, Beckman TJ, Reed DA, Cook DA. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014. https://doi.org/10.1097/ACM.0000000000000388 .

Berzins K, Louch G, Brown M, O’Hara JK, Baker J. Service user and carer involvement in mental health care safety: raising concerns and improving the safety of services. BMC Health Serv Res. 2018. https://doi.org/10.1186/s12913-018-3455-5 .

Malterud K, Siersma VD, Guassora AD. Sample size in qualitative interview studies: guided by Information Power. Qual Health Res. 2016. https://doi.org/10.1177/1049732315617444 .

Bhaskar RA. Scientific Realism and Human Emancipation. London: Verso; 1986.

Google Scholar  

Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R. Qualitative Research Practice. Second edition. London: Sage; 2003.

Willig C. Introducing Qualitative Research in Psychology. Third edition. Berkshire, England: McGraw-Hill Education; 2013.

Braun V, Clarke V. Thematic analysis: a practical guide. London: Sage; 2021.

Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Res Psychol. 2006;3:77–101.

Slade M. Mental illness and well-being: the central importance of positive psychology and recovery approaches. BMC Health Serv Res. 2010. https://doi.org/10.1186/1472-6963-10-26 .

Leamy M, Bird V, Le Boutillier C, Williams J, Slade M. Conceptual framework for personal recovery in mental health: systematic review and narrative synthesis. Br J Psychiatry. 2011. https://doi.org/10.1192/bjp.bp.110.083733 .

Cutler NA, Halcomb E, Sim J, Stephens M, Moxham L. How does the environment influence consumers’ perceptions of safety in acute mental health units? A qualitative study. J Clin Nurs. 2021. https://doi.org/10.1111/jocn.15614 .

NHS England. The Mental Health Patient Safety Improvement Programme. 2021. https://www.england.nhs.uk/patient-safety/patient-safety-improvement-programmes/#MHSIP . Accessed 19 Oct 2022.

Care Quality Commission. Community mental health survey. 2022. https://www.cqc.org.uk/publications/surveys/community-mental-health-survey . Accessed 3 Sep 2023.

Halvorsrud K, Nazroo J, Otis M, Brown Hajdukova E, Bhui K. Ethnic inequalities and pathways to care in psychosis in England: a systematic review and meta-analysis. BMC Med. 2018. https://doi.org/10.1186/s12916-018-1201-9 .

Morgan C, Fearon P, Lappin J, Heslin M, Donoghue K, Lomas B, et al. Ethnicity and long-term course and outcome of psychotic disorders in a UK sample: the ÆsOP-10 study. Br J Psychiatry. 2017. https://doi.org/10.1186/s12916-018-1201-9 .

NHS Digital. Detentions under the Mental Health Act. 2022. https://www.ethnicity-facts-figures.service.gov.uk/health/mental-health/detentions-under-the-mental-health-act/latest . Accessed 13 Dec 2022.

NHS Digital. Community Treatment Orders. Mental Health Act Statistics, Annual Fig. 2022. https://digital.nhs.uk/data-and-information/publications/statistical/mental-health-act-statistics-annual-figures/2021-22-annual-figures/community-treatment-orders . Accessed 13 Dec 2022.

Baker J, Canvin K, Berzins K. The relationship between workforce characteristics and perception of quality of care in mental health: a qualitative study. Int J Nurs Stud. 2019. https://doi.org/10.1016/j.ijnurstu.2019.103412 .

Slemon A, Jenkins E, Bungay V. Safety in psychiatric inpatient care: the impact of risk management culture on mental health nursing practice. Nurs Inq. 2017. https://doi.org/10.1111/nin.12199 .

Vincent C, Amalberti R. Safer Healthcare Strategies for the Real World. London: Springer Open; 2016.

Book   Google Scholar  

NHS England. Community mental health services. NHS England. 2021. https://www.england.nhs.uk/mental-health/adults/cmhs/ . Accessed 15 Jun 2024.

NIHR Applied Research Collaboration West. New guide to working effectively with public contributors – by public contributors themselves. NIHR ARC West. 2023. https://arc-w.nihr.ac.uk/news/new-guide-to-working-effectively-with-public-contributors-by-public-contributors-themselves . Accessed 15 Jun 2024.

NHS England. Working in partnership with people and communities: Statutory guidance. NHS England. 2023. https://www.england.nhs.uk/long-read/working-in-partnership-with-people-and-communities-statutory-guidance/#annex-a-implementation . Accessed 15 Jun 2024.

The National Confidential Inquiry into Suicide and Safety in Mental Health. Safer services: a toolkit for specialist mental health services and primary care. Manchester: University of Manchester; 2022.

Kapur N, Ibrahim S, While D, Baird A, Rodway C, Hunt IM, et al. Mental health service changes, organisational factors, and patient suicide in England in 1997–2012: a before-and-after study. Lancet Psychiatry. 2016. https://doi.org/10.1016/S2215-0366(16)00063-8 .

While D, Bickley H, Roscoe A, Windfuhr K, Rahman S, Shaw J, et al. Implementation of mental health service recommendations in England and Wales and suicide rates, 1997–2006: a cross-sectional and before-and-after observational study. Lancet. 2012. https://doi.org/10.1016/S0140-6736(11)61712-1 .

Hollnagel E, Wears RL, Braithwaite J. From Safety-I to Safety-II: a White Paper. University of Florida, USA, and Macquarie University, Australia; 2015.

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Acknowledgements

We would like to thank the service users and carers who provided valuable guidance in a patient and public involvement capacity, which helped to shape this research. Likewise, we acknowledge the support of the Maudsley Biomedical Research Centre’s Feasibility and Acceptability Support Team for Researchers (FAST-R). Finally, we would like to express our sincere thanks to the participants in this study, who so generously gave up their time in helping us to understand their experiences.

This project is supported by the Health Foundation’s grant to the University of Cambridge for The Healthcare Improvement Studies Institute (THIS Institute), grant number PHD-2018‐01‐026. The views expressed in this publication are those of the authors, and not necessarily those of the Health Foundation or THIS Institute.

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Claire Henderson and Nick Sevdalis are joint senior authors of this study.

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Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, London, SE5 8AF, UK

Phoebe Averill, Bryher Bowness & Claire Henderson

Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Nick Sevdalis

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PA: Conceptualisation; Formal analysis, Investigation; Methodology; Project administration; Writing – Original Draft Preparation; Writing – Review & Editing. BB: Formal analysis; Writing – Review & Editing. CH: Conceptualisation; Funding acquisition; Methodology; Supervision; Writing – Review & Editing. NS: Conceptualisation; Funding acquisition; Methodology; Supervision; Writing – Review & Editing.

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Correspondence to Phoebe Averill .

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This research was approved by a Welsh National Health Service (NHS) research ethics committee (IRAS ID: 279409). Participants were aware of the aims of the research and the voluntary nature of taking part. Informed consent was documented prior to participation.

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NS is the director of London Safety and Training Solutions Ltd, which offers training in patient safety, implementation solutions and human factors to healthcare organisations and the pharmaceutical industry. The other authors report no competing interests.

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Averill, P., Bowness, B., Henderson, C. et al. What does ‘safe care’ mean in the context of community-based mental health services? A qualitative exploration of the perspectives of service users, carers, and healthcare providers in England. BMC Health Serv Res 24 , 1053 (2024). https://doi.org/10.1186/s12913-024-11473-3

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Presenting and Evaluating Qualitative Research

The purpose of this paper is to help authors to think about ways to present qualitative research papers in the American Journal of Pharmaceutical Education . It also discusses methods for reviewers to assess the rigour, quality, and usefulness of qualitative research. Examples of different ways to present data from interviews, observations, and focus groups are included. The paper concludes with guidance for publishing qualitative research and a checklist for authors and reviewers.

INTRODUCTION

Policy and practice decisions, including those in education, increasingly are informed by findings from qualitative as well as quantitative research. Qualitative research is useful to policymakers because it often describes the settings in which policies will be implemented. Qualitative research is also useful to both pharmacy practitioners and pharmacy academics who are involved in researching educational issues in both universities and practice and in developing teaching and learning.

Qualitative research involves the collection, analysis, and interpretation of data that are not easily reduced to numbers. These data relate to the social world and the concepts and behaviors of people within it. Qualitative research can be found in all social sciences and in the applied fields that derive from them, for example, research in health services, nursing, and pharmacy. 1 It looks at X in terms of how X varies in different circumstances rather than how big is X or how many Xs are there? 2 Textbooks often subdivide research into qualitative and quantitative approaches, furthering the common assumption that there are fundamental differences between the 2 approaches. With pharmacy educators who have been trained in the natural and clinical sciences, there is often a tendency to embrace quantitative research, perhaps due to familiarity. A growing consensus is emerging that sees both qualitative and quantitative approaches as useful to answering research questions and understanding the world. Increasingly mixed methods research is being carried out where the researcher explicitly combines the quantitative and qualitative aspects of the study. 3 , 4

Like healthcare, education involves complex human interactions that can rarely be studied or explained in simple terms. Complex educational situations demand complex understanding; thus, the scope of educational research can be extended by the use of qualitative methods. Qualitative research can sometimes provide a better understanding of the nature of educational problems and thus add to insights into teaching and learning in a number of contexts. For example, at the University of Nottingham, we conducted in-depth interviews with pharmacists to determine their perceptions of continuing professional development and who had influenced their learning. We also have used a case study approach using observation of practice and in-depth interviews to explore physiotherapists' views of influences on their leaning in practice. We have conducted in-depth interviews with a variety of stakeholders in Malawi, Africa, to explore the issues surrounding pharmacy academic capacity building. A colleague has interviewed and conducted focus groups with students to explore cultural issues as part of a joint Nottingham-Malaysia pharmacy degree program. Another colleague has interviewed pharmacists and patients regarding their expectations before and after clinic appointments and then observed pharmacist-patient communication in clinics and assessed it using the Calgary Cambridge model in order to develop recommendations for communication skills training. 5 We have also performed documentary analysis on curriculum data to compare pharmacist and nurse supplementary prescribing courses in the United Kingdom.

It is important to choose the most appropriate methods for what is being investigated. Qualitative research is not appropriate to answer every research question and researchers need to think carefully about their objectives. Do they wish to study a particular phenomenon in depth (eg, students' perceptions of studying in a different culture)? Or are they more interested in making standardized comparisons and accounting for variance (eg, examining differences in examination grades after changing the way the content of a module is taught). Clearly a quantitative approach would be more appropriate in the last example. As with any research project, a clear research objective has to be identified to know which methods should be applied.

Types of qualitative data include:

• Audio recordings and transcripts from in-depth or semi-structured interviews
• Structured interview questionnaires containing substantial open comments including a substantial number of responses to open comment items.
• Audio recordings and transcripts from focus group sessions.
• Field notes (notes taken by the researcher while in the field [setting] being studied)
• Video recordings (eg, lecture delivery, class assignments, laboratory performance)
• Case study notes
• Documents (reports, meeting minutes, e-mails)
• Diaries, video diaries
• Observation notes
• Press clippings
• Photographs

RIGOUR IN QUALITATIVE RESEARCH

Qualitative research is often criticized as biased, small scale, anecdotal, and/or lacking rigor; however, when it is carried out properly it is unbiased, in depth, valid, reliable, credible and rigorous. In qualitative research, there needs to be a way of assessing the “extent to which claims are supported by convincing evidence.” 1 Although the terms reliability and validity traditionally have been associated with quantitative research, increasingly they are being seen as important concepts in qualitative research as well. Examining the data for reliability and validity assesses both the objectivity and credibility of the research. Validity relates to the honesty and genuineness of the research data, while reliability relates to the reproducibility and stability of the data.

The validity of research findings refers to the extent to which the findings are an accurate representation of the phenomena they are intended to represent. The reliability of a study refers to the reproducibility of the findings. Validity can be substantiated by a number of techniques including triangulation use of contradictory evidence, respondent validation, and constant comparison. Triangulation is using 2 or more methods to study the same phenomenon. Contradictory evidence, often known as deviant cases, must be sought out, examined, and accounted for in the analysis to ensure that researcher bias does not interfere with or alter their perception of the data and any insights offered. Respondent validation, which is allowing participants to read through the data and analyses and provide feedback on the researchers' interpretations of their responses, provides researchers with a method of checking for inconsistencies, challenges the researchers' assumptions, and provides them with an opportunity to re-analyze their data. The use of constant comparison means that one piece of data (for example, an interview) is compared with previous data and not considered on its own, enabling researchers to treat the data as a whole rather than fragmenting it. Constant comparison also enables the researcher to identify emerging/unanticipated themes within the research project.

STRENGTHS AND LIMITATIONS OF QUALITATIVE RESEARCH

Qualitative researchers have been criticized for overusing interviews and focus groups at the expense of other methods such as ethnography, observation, documentary analysis, case studies, and conversational analysis. Qualitative research has numerous strengths when properly conducted.

Strengths of Qualitative Research

• Issues can be examined in detail and in depth.
• Interviews are not restricted to specific questions and can be guided/redirected by the researcher in real time.
• The research framework and direction can be quickly revised as new information emerges.
• The data based on human experience that is obtained is powerful and sometimes more compelling than quantitative data.
• Subtleties and complexities about the research subjects and/or topic are discovered that are often missed by more positivistic enquiries.
• Data usually are collected from a few cases or individuals so findings cannot be generalized to a larger population. Findings can however be transferable to another setting.

Limitations of Qualitative Research

• Research quality is heavily dependent on the individual skills of the researcher and more easily influenced by the researcher's personal biases and idiosyncrasies.
• Rigor is more difficult to maintain, assess, and demonstrate.
• The volume of data makes analysis and interpretation time consuming.
• It is sometimes not as well understood and accepted as quantitative research within the scientific community
• The researcher's presence during data gathering, which is often unavoidable in qualitative research, can affect the subjects' responses.
• Issues of anonymity and confidentiality can present problems when presenting findings
• Findings can be more difficult and time consuming to characterize in a visual way.

PRESENTATION OF QUALITATIVE RESEARCH FINDINGS

The following extracts are examples of how qualitative data might be presented:

Data From an Interview.

The following is an example of how to present and discuss a quote from an interview.

The researcher should select quotes that are poignant and/or most representative of the research findings. Including large portions of an interview in a research paper is not necessary and often tedious for the reader. The setting and speakers should be established in the text at the end of the quote.

The student describes how he had used deep learning in a dispensing module. He was able to draw on learning from a previous module, “I found that while using the e learning programme I was able to apply the knowledge and skills that I had gained in last year's diseases and goals of treatment module.” (interviewee 22, male)

This is an excerpt from an article on curriculum reform that used interviews 5 :

The first question was, “Without the accreditation mandate, how much of this curriculum reform would have been attempted?” According to respondents, accreditation played a significant role in prompting the broad-based curricular change, and their comments revealed a nuanced view. Most indicated that the change would likely have occurred even without the mandate from the accreditation process: “It reflects where the profession wants to be … training a professional who wants to take on more responsibility.” However, they also commented that “if it were not mandated, it could have been a very difficult road.” Or it “would have happened, but much later.” The change would more likely have been incremental, “evolutionary,” or far more limited in its scope. “Accreditation tipped the balance” was the way one person phrased it. “Nobody got serious until the accrediting body said it would no longer accredit programs that did not change.”

Data From Observations

The following example is some data taken from observation of pharmacist patient consultations using the Calgary Cambridge guide. 6 , 7 The data are first presented and a discussion follows:

Pharmacist: We will soon be starting a stop smoking clinic. Patient: Is the interview over now? Pharmacist: No this is part of it. (Laughs) You can't tell me to bog off (sic) yet. (pause) We will be starting a stop smoking service here, Patient: Yes. Pharmacist: with one-to-one and we will be able to help you or try to help you. If you want it. In this example, the pharmacist has picked up from the patient's reaction to the stop smoking clinic that she is not receptive to advice about giving up smoking at this time; in fact she would rather end the consultation. The pharmacist draws on his prior relationship with the patient and makes use of a joke to lighten the tone. He feels his message is important enough to persevere but he presents the information in a succinct and non-pressurised way. His final comment of “If you want it” is important as this makes it clear that he is not putting any pressure on the patient to take up this offer. This extract shows that some patient cues were picked up, and appropriately dealt with, but this was not the case in all examples.

Data From Focus Groups

This excerpt from a study involving 11 focus groups illustrates how findings are presented using representative quotes from focus group participants. 8

Those pharmacists who were initially familiar with CPD endorsed the model for their peers, and suggested it had made a meaningful difference in the way they viewed their own practice. In virtually all focus groups sessions, pharmacists familiar with and supportive of the CPD paradigm had worked in collaborative practice environments such as hospital pharmacy practice. For these pharmacists, the major advantage of CPD was the linking of workplace learning with continuous education. One pharmacist stated, “It's amazing how much I have to learn every day, when I work as a pharmacist. With [the learning portfolio] it helps to show how much learning we all do, every day. It's kind of satisfying to look it over and see how much you accomplish.” Within many of the learning portfolio-sharing sessions, debates emerged regarding the true value of traditional continuing education and its outcome in changing an individual's practice. While participants appreciated the opportunity for social and professional networking inherent in some forms of traditional CE, most eventually conceded that the academic value of most CE programming was limited by the lack of a systematic process for following-up and implementing new learning in the workplace. “Well it's nice to go to these [continuing education] events, but really, I don't know how useful they are. You go, you sit, you listen, but then, well I at least forget.”

The following is an extract from a focus group (conducted by the author) with first-year pharmacy students about community placements. It illustrates how focus groups provide a chance for participants to discuss issues on which they might disagree.

Interviewer: So you are saying that you would prefer health related placements? Student 1: Not exactly so long as I could be developing my communication skill. Student 2: Yes but I still think the more health related the placement is the more I'll gain from it. Student 3: I disagree because other people related skills are useful and you may learn those from taking part in a community project like building a garden. Interviewer: So would you prefer a mixture of health and non health related community placements?

GUIDANCE FOR PUBLISHING QUALITATIVE RESEARCH

Qualitative research is becoming increasingly accepted and published in pharmacy and medical journals. Some journals and publishers have guidelines for presenting qualitative research, for example, the British Medical Journal 9 and Biomedcentral . 10 Medical Education published a useful series of articles on qualitative research. 11 Some of the important issues that should be considered by authors, reviewers and editors when publishing qualitative research are discussed below.

Introduction.

A good introduction provides a brief overview of the manuscript, including the research question and a statement justifying the research question and the reasons for using qualitative research methods. This section also should provide background information, including relevant literature from pharmacy, medicine, and other health professions, as well as literature from the field of education that addresses similar issues. Any specific educational or research terminology used in the manuscript should be defined in the introduction.

The methods section should clearly state and justify why the particular method, for example, face to face semistructured interviews, was chosen. The method should be outlined and illustrated with examples such as the interview questions, focusing exercises, observation criteria, etc. The criteria for selecting the study participants should then be explained and justified. The way in which the participants were recruited and by whom also must be stated. A brief explanation/description should be included of those who were invited to participate but chose not to. It is important to consider “fair dealing,” ie, whether the research design explicitly incorporates a wide range of different perspectives so that the viewpoint of 1 group is never presented as if it represents the sole truth about any situation. The process by which ethical and or research/institutional governance approval was obtained should be described and cited.

The study sample and the research setting should be described. Sampling differs between qualitative and quantitative studies. In quantitative survey studies, it is important to select probability samples so that statistics can be used to provide generalizations to the population from which the sample was drawn. Qualitative research necessitates having a small sample because of the detailed and intensive work required for the study. So sample sizes are not calculated using mathematical rules and probability statistics are not applied. Instead qualitative researchers should describe their sample in terms of characteristics and relevance to the wider population. Purposive sampling is common in qualitative research. Particular individuals are chosen with characteristics relevant to the study who are thought will be most informative. Purposive sampling also may be used to produce maximum variation within a sample. Participants being chosen based for example, on year of study, gender, place of work, etc. Representative samples also may be used, for example, 20 students from each of 6 schools of pharmacy. Convenience samples involve the researcher choosing those who are either most accessible or most willing to take part. This may be fine for exploratory studies; however, this form of sampling may be biased and unrepresentative of the population in question. Theoretical sampling uses insights gained from previous research to inform sample selection for a new study. The method for gaining informed consent from the participants should be described, as well as how anonymity and confidentiality of subjects were guaranteed. The method of recording, eg, audio or video recording, should be noted, along with procedures used for transcribing the data.

Data Analysis.

A description of how the data were analyzed also should be included. Was computer-aided qualitative data analysis software such as NVivo (QSR International, Cambridge, MA) used? Arrival at “data saturation” or the end of data collection should then be described and justified. A good rule when considering how much information to include is that readers should have been given enough information to be able to carry out similar research themselves.

One of the strengths of qualitative research is the recognition that data must always be understood in relation to the context of their production. 1 The analytical approach taken should be described in detail and theoretically justified in light of the research question. If the analysis was repeated by more than 1 researcher to ensure reliability or trustworthiness, this should be stated and methods of resolving any disagreements clearly described. Some researchers ask participants to check the data. If this was done, it should be fully discussed in the paper.

An adequate account of how the findings were produced should be included A description of how the themes and concepts were derived from the data also should be included. Was an inductive or deductive process used? The analysis should not be limited to just those issues that the researcher thinks are important, anticipated themes, but also consider issues that participants raised, ie, emergent themes. Qualitative researchers must be open regarding the data analysis and provide evidence of their thinking, for example, were alternative explanations for the data considered and dismissed, and if so, why were they dismissed? It also is important to present outlying or negative/deviant cases that did not fit with the central interpretation.

The interpretation should usually be grounded in interviewees or respondents' contributions and may be semi-quantified, if this is possible or appropriate, for example, “Half of the respondents said …” “The majority said …” “Three said…” Readers should be presented with data that enable them to “see what the researcher is talking about.” 1 Sufficient data should be presented to allow the reader to clearly see the relationship between the data and the interpretation of the data. Qualitative data conventionally are presented by using illustrative quotes. Quotes are “raw data” and should be compiled and analyzed, not just listed. There should be an explanation of how the quotes were chosen and how they are labeled. For example, have pseudonyms been given to each respondent or are the respondents identified using codes, and if so, how? It is important for the reader to be able to see that a range of participants have contributed to the data and that not all the quotes are drawn from 1 or 2 individuals. There is a tendency for authors to overuse quotes and for papers to be dominated by a series of long quotes with little analysis or discussion. This should be avoided.

Participants do not always state the truth and may say what they think the interviewer wishes to hear. A good qualitative researcher should not only examine what people say but also consider how they structured their responses and how they talked about the subject being discussed, for example, the person's emotions, tone, nonverbal communication, etc. If the research was triangulated with other qualitative or quantitative data, this should be discussed.

Discussion.

The findings should be presented in the context of any similar previous research and or theories. A discussion of the existing literature and how this present research contributes to the area should be included. A consideration must also be made about how transferrable the research would be to other settings. Any particular strengths and limitations of the research also should be discussed. It is common practice to include some discussion within the results section of qualitative research and follow with a concluding discussion.

The author also should reflect on their own influence on the data, including a consideration of how the researcher(s) may have introduced bias to the results. The researcher should critically examine their own influence on the design and development of the research, as well as on data collection and interpretation of the data, eg, were they an experienced teacher who researched teaching methods? If so, they should discuss how this might have influenced their interpretation of the results.

Conclusion.

The conclusion should summarize the main findings from the study and emphasize what the study adds to knowledge in the area being studied. Mays and Pope suggest the researcher ask the following 3 questions to determine whether the conclusions of a qualitative study are valid 12 : How well does this analysis explain why people behave in the way they do? How comprehensible would this explanation be to a thoughtful participant in the setting? How well does the explanation cohere with what we already know?

CHECKLIST FOR QUALITATIVE PAPERS

This paper establishes criteria for judging the quality of qualitative research. It provides guidance for authors and reviewers to prepare and review qualitative research papers for the American Journal of Pharmaceutical Education . A checklist is provided in Appendix 1 to assist both authors and reviewers of qualitative data.

ACKNOWLEDGEMENTS

Thank you to the 3 reviewers whose ideas helped me to shape this paper.

Appendix 1. Checklist for authors and reviewers of qualitative research.

Introduction

• □ Research question is clearly stated.
• □ Research question is justified and related to the existing knowledge base (empirical research, theory, policy).
• □ Any specific research or educational terminology used later in manuscript is defined.
• □ The process by which ethical and or research/institutional governance approval was obtained is described and cited.
• □ Reason for choosing particular research method is stated.
• □ Criteria for selecting study participants are explained and justified.
• □ Recruitment methods are explicitly stated.
• □ Details of who chose not to participate and why are given.
• □ Study sample and research setting used are described.
• □ Method for gaining informed consent from the participants is described.
• □ Maintenance/Preservation of subject anonymity and confidentiality is described.
• □ Method of recording data (eg, audio or video recording) and procedures for transcribing data are described.
• □ Methods are outlined and examples given (eg, interview guide).
• □ Decision to stop data collection is described and justified.
• □ Data analysis and verification are described, including by whom they were performed.
• □ Methods for identifying/extrapolating themes and concepts from the data are discussed.
• □ Sufficient data are presented to allow a reader to assess whether or not the interpretation is supported by the data.
• □ Outlying or negative/deviant cases that do not fit with the central interpretation are presented.
• □ Transferability of research findings to other settings is discussed.
• □ Findings are presented in the context of any similar previous research and social theories.
• □ Discussion often is incorporated into the results in qualitative papers.
• □ A discussion of the existing literature and how this present research contributes to the area is included.
• □ Any particular strengths and limitations of the research are discussed.
• □ Reflection of the influence of the researcher(s) on the data, including a consideration of how the researcher(s) may have introduced bias to the results is included.

Conclusions

• □ The conclusion states the main finings of the study and emphasizes what the study adds to knowledge in the subject area.

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• Published: 08 September 2024

Longitudinal analysis of teacher self-efficacy evolution during a STEAM professional development program: a qualitative case study

• Haozhe Jiang   ORCID: orcid.org/0000-0002-7870-0993 1 ,
• Ritesh Chugh   ORCID: orcid.org/0000-0003-0061-7206 2 ,
• Xuesong Zhai   ORCID: orcid.org/0000-0002-4179-7859 1 , 3   nAff7 ,
• Ke Wang 4 &
• Xiaoqin Wang 5 , 6  

Humanities and Social Sciences Communications volume  11 , Article number:  1162 ( 2024 ) Cite this article

Metrics details

Despite the widespread advocacy for the integration of arts and humanities (A&H) into science, technology, engineering, and mathematics (STEM) education on an international scale, teachers face numerous obstacles in practically integrating A&H into STEM teaching (IAT). To tackle the challenges, a comprehensive five-stage framework for teacher professional development programs focussed on IAT has been developed. Through the use of a qualitative case study approach, this study outlines the shifts in a participant teacher’s self-efficacy following their exposure to each stage of the framework. The data obtained from interviews and reflective analyses were analyzed using a seven-stage inductive method. The findings have substantiated the significant impact of a teacher professional development program based on the framework on teacher self-efficacy, evident in both individual performance and student outcomes observed over eighteen months. The evolution of teacher self-efficacy in IAT should be regarded as an open and multi-level system, characterized by interactions with teacher knowledge, skills and other entrenched beliefs. Building on our research findings, an enhanced model of teacher professional learning is proposed. The revised model illustrates that professional learning for STEAM teachers should be conceived as a continuous and sustainable process, characterized by the dynamic interaction among teaching performance, teacher knowledge, and teacher beliefs. The updated model further confirms the inseparable link between teacher learning and student learning within STEAM education. This study contributes to the existing body of literature on teacher self-efficacy, teacher professional learning models and the design of IAT teacher professional development programs.

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Introduction.

In the past decade, there has been a surge in the advancement and widespread adoption of Science, Technology, Engineering, and Mathematics (STEM) education on a global scale (Jiang et al. 2021 ; Jiang et al. 2022 ; Jiang et al. 2023 ; Jiang et al. 2024a , b ; Zhan et al. 2023 ; Zhan and Niu 2023 ; Zhong et al. 2022 ; Zhong et al. 2024 ). Concurrently, there has been a growing chorus of advocates urging the integration of Arts and Humanities (A&H) into STEM education (e.g., Alkhabra et al. 2023 ; Land 2020 ; Park and Cho 2022 ; Uştu et al. 2021 ; Vaziri and Bradburn 2021 ). STEM education is frequently characterized by its emphasis on logic and analysis; however, it may be perceived as deficient in emotional and intuitive elements (Ozkan and Umdu Topsakal 2021 ). Through the integration of Arts and Humanities (A&H), the resulting STEAM approach has the potential to become more holistic, incorporating both rationality and emotional intelligence (Ozkan and Umdu Topsakal 2021 ). Many studies have confirmed that A&H can help students increase interest and develop their understanding of the contents in STEM fields, and thus, A&H can attract potential underrepresented STEM learners such as female students and minorities (Land 2020 ; Park and Cho 2022 ; Perignat and Katz-Buonincontro 2019 ). Despite the increasing interest in STEAM, the approaches to integrating A&H, which represent fundamentally different disciplines, into STEM are theoretically and practically ambiguous (Jacques et al. 2020 ; Uştu et al. 2021 ). Moreover, studies have indicated that the implementation of STEAM poses significant challenges, with STEM educators encountering difficulties in integrating A&H into their teaching practices (e.g., Boice et al. 2021 ; Duong et al. 2024 ; Herro et al. 2019 ; Jacques et al. 2020 ; Park and Cho 2022 ; Perignat and Katz-Buonincontro 2019 ). Hence, there is a pressing need to provide STEAM teachers with effective professional training.

Motivated by this gap, this study proposes a novel five-stage framework tailored for teacher professional development programs specifically designed to facilitate the integration of A&H into STEM teaching (IAT). Following the establishment of this framework, a series of teacher professional development programs were implemented. To explain the framework, a qualitative case study is employed, focusing on examining a specific teacher professional development program’s impact on a pre-service teacher’s self-efficacy. The case narratives, with a particular focus on the pre-service teacher’s changes in teacher self-efficacy, are organized chronologically, delineating stages before and after each stage of the teacher professional development program. More specifically, meaningful vignettes of the pre-service teacher’s learning and teaching experiences during the teacher professional development program are offered to help understand the five-stage framework. This study contributes to understanding teacher self-efficacy, teacher professional learning model and the design of IAT teacher professional development programs.

Theoretical background

The conceptualization of steam education.

STEM education can be interpreted through various lenses (e.g., Jiang et al. 2021 ; English 2016 ). As Li et al. (2020) claimed, on the one hand, STEM education can be defined as individual STEM disciplinary-based education (i.e., science education, technology education, engineering education and mathematics education). On the other hand, STEM education can also be defined as interdisciplinary or cross-disciplinary education where individual STEM disciplines are integrated (Jiang et al. 2021 ; English 2016 ). In this study, we view it as individual disciplinary-based education separately in science, technology, engineering and mathematics (English 2016 ).

STEAM education emerged as a new pedagogy during the Americans for the Arts-National Policy Roundtable discussion in 2007 (Perignat and Katz-Buonincontro 2019 ). This pedagogy was born out of the necessity to enhance students’ engagement, foster creativity, stimulate innovation, improve problem-solving abilities, and cultivate employability skills such as teamwork, communication and adaptability (Perignat and Katz-Buonincontro 2019 ). In particular, within the framework of STEAM education, the ‘A’ should be viewed as a broad concept that represents arts and humanities (A&H) (Herro and Quigley 2016 ; de la Garza 2021 , Park and Cho 2022 ). This conceptualization emphasizes the need to include humanities subjects alongside arts (Herro and Quigley 2016 ; de la Garza 2021 ; Park and Cho 2022 ). Sanz-Camarero et al. ( 2023 ) listed some important fields of A&H, including physical arts, fine arts, manual arts, sociology, politics, philosophy, history, psychology and so on.

In general, STEM education does not necessarily entail the inclusion of all STEM disciplines collectively (Ozkan and Umdu Topsakal 2021 ), and this principle also applies to STEAM education (Gates 2017 ; Perignat and Katz-Buonincontro 2019 ; Quigley et al. 2017 ; Smith and Paré 2016 ). As an illustration, Smith and Paré ( 2016 ) described a STEAM activity in which pottery (representing A&H) and mathematics were integrated, while other STEAM elements such as science, technology and engineering were not included. In our study, STEAM education is conceptualized as an interdisciplinary approach that involves the integration of one or more components of A&H into one or more STEM school subjects within educational activities (Ozkan and Umdu Topsakal 2021 ; Vaziri and Bradburn 2021 ). Notably, interdisciplinary collaboration entails integrating one or more elements from arts and humanities (A&H) with one or more STEM school subjects, cohesively united by a shared theme while maintaining their distinct identities (Perignat and Katz-Buonincontro 2019 ).

In our teacher professional development programs, we help mathematics, technology, and science pre-service teachers integrate one component of A&H into their disciplinary-based teaching practices. For instance, we help mathematics teachers integrate history (a component of A&H) into mathematics teaching. In other words, in our study, integrating A&H into STEM teaching (IAT) can be defined as integrating one component of A&H into the teaching of one of the STEM school subjects. The components of A&H and the STEM school subject are brought together under a common theme, but each of them remains discrete. Engineering is not taught as an individual subject in the K-12 curriculum in mainland China. Therefore, A&H is not integrated into engineering teaching in our teacher professional development programs.

Self-efficacy and teacher self-efficacy

Self-efficacy was initially introduced by Bandura ( 1977 ) as a key concept within his social cognitive theory. Bandura ( 1997 ) defined self-efficacy as “people’s beliefs about their capabilities to produce designated levels of performance that exercise influence over events that affect their lives” (p. 71). Based on Bandura’s ( 1977 ) theory, Tschannen-Moran et al. ( 1998 ) defined the concept of teacher self-efficacy Footnote 1 as “a teacher’s belief in her or his ability to organize and execute the courses of action required to successfully accomplish a specific teaching task in a particular context” (p. 233). Blonder et al. ( 2014 ) pointed out that this definition implicitly included teachers’ judgment of their ability to bring about desired outcomes in terms of students’ engagement and learning. Moreover, OECD ( 2018 ) defined teacher self-efficacy as “the beliefs that teachers have of their ability to enact certain teaching behavior that influences students’ educational outcomes, such as achievement, interest, and motivation” (p. 51). This definition explicitly included two dimensions: teachers’ judgment of the ability related to their teaching performance (i.e., enacting certain teaching behavior) and their influence on student outcomes.

It is argued that teacher self-efficacy should not be regarded as a general or overarching construct (Zee et al. 2017 ; Zee and Koomen 2016 ). Particularly, in the performance-driven context of China, teachers always connect their beliefs in their professional capabilities with the educational outcomes of their students (Liu et al. 2018 ). Therefore, we operationally conceptualize teacher self-efficacy as having two dimensions: self-efficacy in individual performance and student outcomes (see Table 1 ).

Most importantly, given its consistent association with actual teaching performance and student outcomes (Bray-Clark and Bates 2003 ; Kelley et al. 2020 ), teacher self-efficacy is widely regarded as a pivotal indicator of teacher success (Kelley et al. 2020 ). Moreover, the enhancement of teaching self-efficacy reflects the effectiveness of teacher professional development programs (Bray-Clark and Bates 2003 ; Kelley et al. 2020 ; Wong et al. 2022 ; Zhou et al. 2023 ). For instance, Zhou et al. ( 2023 ) claimed that in STEM teacher education, effective teacher professional development programs should bolster teachers’ self-efficacy “in teaching the content in the STEM discipline” (p. 2).

It has been documented that teachers frequently experience diminished confidence and comfort when teaching subject areas beyond their expertise (Kelley et al. 2020 ; Stohlmann et al. 2012 ). This diminished confidence extends to their self-efficacy in implementing interdisciplinary teaching approaches, such as integrated STEM teaching and IAT (Kelley et al. 2020 ). For instance, Geng et al. ( 2019 ) found that STEM teachers in Hong Kong exhibited low levels of self-efficacy, with only 5.53% of teachers rating their overall self-efficacy in implementing STEM education as higher than a score of 4 out of 5. Additionally, Hunter-Doniger and Sydow ( 2016 ) found that teachers may experience apprehension and lack confidence when incorporating A&H elements into the classroom context, particularly within the framework of IAT. Considering the critical importance of teacher self-efficacy in STEM and STEAM education (Kelley et al. 2020 ; Zakariya, 2020 ; Zhou et al. 2023 ), it is necessary to explore effective measures, frameworks and teacher professional development programs to help teachers improve their self-efficacy regarding interdisciplinary teaching (e.g., IAT).

Teacher professional learning models

The relationship between teachers’ professional learning and students’ outcomes (such as achievements, skills and attitudes) has been a subject of extensive discussion and research for many years (Clarke and Hollingsworth 2002 ). For instance, Clarke and Hollingsworth ( 2002 ) proposed and validated the Interconnected Model of Professional Growth, which illustrates that teacher professional development is influenced by the interaction among four interconnected domains: the personal domain (teacher knowledge, beliefs and attitudes), the domain of practice (professional experimentation), the domain of consequence (salient outcomes), and the external domain (sources of information, stimulus or support). Sancar et al. ( 2021 ) emphasized that teachers’ professional learning or development never occurs independently. In practice, this process is inherently intertwined with many variables, including student outcomes, in various ways (Sancar et al. 2021 ). However, many current teacher professional development programs exclude real in-class teaching and fail to establish a comprehensive link between teachers’ professional learning and student outcomes (Cai et al. 2020 ; Sancar et al. 2021 ). Sancar et al. ( 2021 ) claimed that exploring the complex relationships between teachers’ professional learning and student outcomes should be grounded in monitoring and evaluating real in-class teaching, rather than relying on teachers’ self-assessment. It is essential to understand these relationships from a holistic perspective within the context of real classroom teaching (Sancar et al. 2021 ). However, as Sancar et al. ( 2021 ) pointed out, such efforts in teacher education are often considered inadequate. Furthermore, in the field of STEAM education, such efforts are further exacerbated.

Cai et al. ( 2020 ) proposed a teacher professional learning model where student outcomes are emphasized. This model was developed based on Cai ( 2017 ), Philipp ( 2007 ) and Thompson ( 1992 ). It has also been used and justified in a series of teacher professional development programs (e.g., Calabrese et al. 2024 ; Hwang et al. 2024 ; Marco and Palatnik 2024 ; Örnek and Soylu 2021 ). The model posits that teachers typically increase their knowledge and modify their beliefs through professional teacher learning, subsequently improving their classroom instruction, enhancing teaching performance, and ultimately fostering improved student learning outcomes (Cai et al. 2020 ). Notably, this model can be updated in several aspects. Firstly, prior studies have exhibited the interplay between teacher knowledge and beliefs (e.g., Basckin et al. 2021 ; Taimalu and Luik 2019 ). This indicates that the increase in teacher knowledge and the change in teacher belief may not be parallel. The two processes can be intertwined. Secondly, the Interconnected Model of Professional Growth highlights that the personal domain and the domain of practice are interconnected (Clarke and Hollingsworth 2002 ). Liu et al. ( 2022 ) also confirmed that improvements in classroom instruction may, in turn, influence teacher beliefs. This necessitates a reconsideration of the relationships between classroom instruction, teacher knowledge and teacher beliefs in Cai et al.’s ( 2020 ) model. Thirdly, the Interconnected Model of Professional Growth also exhibits the connections between the domain of consequence and the personal domain (Clarke and Hollingsworth 2002 ). Hence, the improvement of learning outcomes may signify the end of teacher learning. For instance, students’ learning feedback may be a vital source of teacher self-efficacy (Bandura 1977 ). Therefore, the improvement of student outcomes may, in turn, affect teacher beliefs. The aforementioned arguments highlight the need for an updated model that integrates Cai et al.’s ( 2020 ) teacher professional learning model with Clarke and Hollingsworth’s ( 2002 ) Interconnected Model of Professional Growth. This integration may provide a holistic view of the teacher’s professional learning process, especially within the complex contexts of STEAM teacher education.

The framework for teacher professional development programs of integrating arts and humanities into STEM teaching

In this section, we present a framework for IAT teacher professional development programs, aiming to address the practical challenges associated with STEAM teaching implementation. Our framework incorporates the five features of effective teacher professional development programs outlined by Archibald et al. ( 2011 ), Cai et al. ( 2020 ), Darling-Hammond et al. ( 2017 ), Desimone and Garet ( 2015 ) and Roth et al. ( 2017 ). These features include: (a) alignment with shared goals (e.g., school, district, and national policies and practice), (b) emphasis on core content and modeling of teaching strategies for the content, (c) collaboration among teachers within a community, (d) adequate opportunities for active learning of new teaching strategies, and (e) embedded follow-up and continuous feedback. It is worth noting that two concepts, namely community of practice and lesson study, have been incorporated into our framework. Below, we delineate how these features are reflected in our framework.

(a) The Chinese government has issued a series of policies to facilitate STEAM education in K-12 schools (Jiang et al. 2021 ; Li and Chiang 2019 ; Lyu et al. 2024 ; Ro et al. 2022 ). The new curriculum standards released in 2022 mandate that all K-12 teachers implement interdisciplinary teaching, including STEAM education. Our framework for teacher professional development programs, which aims to help teachers integrate A&H into STEM teaching, closely aligns with these national policies and practices supporting STEAM education in K-12 schools.

(b) The core content of the framework is IAT. Specifically, as A&H is a broad concept, we divide it into several subcomponents, such as history, culture, and visual and performing arts (e.g., drama). We are implementing a series of teacher professional development programs to help mathematics, technology and science pre-service teachers integrate these subcomponents of A&H into their teaching Footnote 2 . Notably, pre-service teachers often lack teaching experience, making it challenging to master and implement new teaching strategies. Therefore, our framework provides five step-by-step stages designed to help them effectively model the teaching strategies of IAT.

(c) Our framework advocates for collaboration among teachers within a community of practice. Specifically, a community of practice is “a group of people who share an interest in a domain of human endeavor and engage in a process of collective learning that creates bonds between them” (Wenger et al. 2002 , p. 1). A teacher community of practice can be considered a group of teachers “sharing and critically observing their practices in growth-promoting ways” (Näykki et al. 2021 , p. 497). Long et al. ( 2021 ) claimed that in a teacher community of practice, members collaboratively share their teaching experiences and work together to address teaching problems. Our community of practice includes three types of members. (1) Mentors: These are professors and experts with rich experience in helping pre-service teachers practice IAT. (2) Pre-service teachers: Few have teaching experience before the teacher professional development programs. (3) In-service teachers: All in-service teachers are senior teachers with rich teaching experience. All the members work closely together to share and improve their IAT practice. Moreover, our community includes not only mentors and in-service teachers but also pre-service teachers. We encourage pre-service teachers to collaborate with experienced in-service teachers in various ways, such as developing IAT lesson plans, writing IAT case reports and so on. In-service teachers can provide cognitive and emotional support and share their practical knowledge and experience, which may significantly benefit the professional growth of pre-service teachers (Alwafi et al. 2020 ).

(d) Our framework offers pre-service teachers various opportunities to engage in lesson study, allowing them to actively design and implement IAT lessons. Based on the key points of effective lesson study outlined by Akiba et al. ( 2019 ), Ding et al. ( 2024 ), and Takahashi and McDougal ( 2016 ), our lesson study incorporates the following seven features. (1) Study of IAT materials: Pre-service teachers are required to study relevant IAT materials under the guidance of mentors. (2) Collaboration on lesson proposals: Pre-service teachers should collaborate with in-service teachers to develop comprehensive lesson proposals. (3) Observation and data collection: During the lesson, pre-service teachers are required to carefully observe and collect data on student learning and development. (4) Reflection and analysis: Pre-service teachers use the collected data to reflect on the lesson and their teaching effects. (5) Lesson revision and reteaching: If needed, pre-service teachers revise and reteach the lesson based on their reflections and data analysis. (6) Mentor and experienced in-service teacher involvement: Mentors and experienced in-service teachers, as knowledgeable others, are involved throughout the lesson study process. (7) Collaboration on reporting: Pre-service teachers collaborate with in-service teachers to draft reports and disseminate the results of the lesson study. Specifically, recognizing that pre-service teachers often lack teaching experience, we do not require them to complete all the steps of lesson study independently at once. Instead, we guide them through the lesson study process in a step-by-step manner, allowing them to gradually build their IAT skills and confidence. For instance, in Stage 1, pre-service teachers primarily focus on studying IAT materials. In Stage 2, they develop lesson proposals, observe and collect data, and draft reports. However, the implementation of IAT lessons is carried out by in-service teachers. This approach prevents pre-service teachers from experiencing failures due to their lack of teaching experience. In Stage 3, pre-service teachers implement, revise, and reteach IAT lessons, experiencing the lesson study process within a simulated environment. In Stage 4, pre-service teachers engage in lesson study in an actual classroom environment. However, their focus is limited to one micro-course during each lesson study session. It is not until the fifth stage that they experience a complete lesson study in an actual classroom environment.

(e) Our teacher professional development programs incorporate assessments specifically designed to evaluate pre-service teachers’ IAT practices. We use formative assessments to measure their understanding and application of IAT strategies. Pre-service teachers receive ongoing and timely feedback from peers, mentors, in-service teachers, and students, which helps them continuously refine their IAT practices throughout the program. Recognizing that pre-service teachers often have limited contact with real students and may not fully understand students’ learning needs, processes and outcomes, our framework requires them to actively collect and analyze student feedback. By doing so, they can make informed improvements to their instructional practice based on student feedback.

After undergoing three rounds of theoretical and practical testing and revision over the past five years, we have successfully finalized the optimization of the framework design (Zhou 2021 ). Throughout each cycle, we collected feedback from both participants and researchers on at least three occasions. Subsequently, we analyzed this feedback and iteratively refined the framework. For example, we enlisted the participation of in-service teachers to enhance the implementation of STEAM teaching, extended practice time through micro-teaching sessions, and introduced a stage of micro-course development within the framework to provide more opportunities for pre-service teachers to engage with real teaching situations. In this process, we continuously improved the coherence between each stage of the framework, ensuring that they mutually complement one another. The five-stage framework is described as follows.

Stage 1 Literature study

Pre-service teachers are provided with a series of reading materials from A&H. On a weekly basis, two pre-service teachers are assigned to present their readings and reflections to the entire group, followed by critical discussions thereafter. Mentors and all pre-service teachers discuss and explore strategies for translating the original A&H materials into viable instructional resources suitable for classroom use. Subsequently, pre-service teachers select topics of personal interest for further study under mentor guidance.

Stage 2 Case learning

Given that pre-service teachers have no teaching experience, collaborative efforts between in-service teachers and pre-service teachers are undertaken to design IAT lesson plans. Subsequently, the in-service teachers implement these plans. Throughout this process, pre-service teachers are afforded opportunities to engage in lesson plan implementation. Figure 1 illustrates the role of pre-service teachers in case learning. In the first step, pre-service teachers read about materials related to A&H, select suitable materials, and report their ideas on IAT lesson design to mentors, in-service teachers, and fellow pre-service teachers.

Note: A&H refers to arts and humanities.

In the second step, they liaise with the in-service teachers responsible for implementing the lesson plan, discussing the integration of A&H into teaching practices. Pre-service teachers then analyze student learning objectives aligned with curriculum standards, collaboratively designing the IAT lesson plan with in-service teachers. Subsequently, pre-service teachers present lesson plans for feedback from mentors and other in-service teachers.

In the third step, pre-service teachers observe the lesson plan’s implementation, gathering and analyzing feedback from students and in-service teachers using an inductive approach (Merriam 1998 ). Feedback includes opinions on the roles and values of A&H, perceptions of the teaching effect, and recommendations for lesson plan implementation and modification. The second and third steps may iterate multiple times to refine the IAT lesson plan. In the fourth step, pre-service teachers consolidate all data, including various versions of teaching instructions, classroom videos, feedback, and discussion notes, composing reflection notes. Finally, pre-service teachers collaborate with in-service teachers to compile the IAT case report and submit it for publication.

Stage 3 Micro-teaching

Figure 2 illustrates the role of pre-service teachers in micro-teaching. Before entering the micro-classrooms Footnote 3 , all the discussions and communications occur within the pre-service teacher group, excluding mentors and in-service teachers. After designing the IAT lesson plan, pre-service teachers take turns implementing 40-min lesson plans in a simulated micro-classroom setting. Within this simulated environment, one pre-service teacher acts as the teacher, while others, including mentors, in-service teachers, and other fellow pre-service teachers, assume the role of students Footnote 4 . Following the simulated teaching, the implementer reviews the video of their session and self-assesses their performance. Subsequently, the implementer receives feedback from other pre-service teachers, mentors, and in-service teachers. Based on this feedback, the implementer revisits steps 2 and 3, revising the lesson plan and conducting the simulated teaching again. This iterative process typically repeats at least three times until the mentors, in-service teachers, and other pre-service teachers are satisfied with the implementation of the revised lesson plan. Finally, pre-service teachers complete reflection notes and submit a summary of their reflections on the micro-teaching experience. Each pre-service teacher is required to choose at least three topics and undergo at least nine simulated teaching sessions.

Stage 4 Micro-course development

While pre-service teachers may not have the opportunity to execute the whole lesson plans in real classrooms, they can design and create five-minute micro-courses Footnote 5 before class, subsequently presenting these videos to actual students. The process of developing micro-courses closely mirrors that of developing IAT cases in the case learning stage (see Fig. 1 ). However, in Step 3, pre-service teachers assume dual roles, not only as observers of IAT lesson implementation but also as implementers of a five-minute IAT micro-course.

Stage 5 Classroom teaching

Pre-service teachers undertake the implementation of IAT lesson plans independently, a process resembling micro-teaching (see Fig. 2 ). However, pre-service teachers engage with real school students in partner schools Footnote 6 instead of simulated classrooms. Furthermore, they collect feedback not only from the mentors, in-service teachers, and fellow pre-service teachers but also from real students.

To provide our readers with a better understanding of the framework, we provide meaningful vignettes of a pre-service teacher’s learning and teaching experiences in one of the teacher professional development programs based on the framework. In addition, we choose teacher self-efficacy as an indicator to assess the framework’s effectiveness, detailing the pre-service teacher’s changes in teacher self-efficacy.

Research design

Research method.

Teacher self-efficacy can be measured both quantitatively and qualitatively (Bandura 1986 , 1997 ; Lee and Bobko 1994 ; Soprano and Yang 2013 ; Unfried et al. 2022 ). However, researchers and theorists in the area of teacher self-efficacy have called for more qualitative and longitudinal studies (Klassen et al. 2011 ). As some critiques stated, most studies were based on correlational and cross-sectional data obtained from self-report surveys, and qualitative studies of teacher efficacy were overwhelmingly neglected (Henson 2002 ; Klassen et al. 2011 ; Tschannen-Moran et al. 1998 ; Xenofontos and Andrews 2020 ). There is an urgent need for more longitudinal studies to shed light on the development of teacher efficacy (Klassen et al. 2011 ; Xenofontos and Andrews 2020 ).

This study utilized a longitudinal qualitative case study methodology to delve deeply into the context (Jiang et al. 2021 ; Corden and Millar 2007 ; Dicks et al. 2023 ; Henderson et al. 2012 ; Matusovich et al. 2010 ; Shirani and Henwood 2011 ), presenting details grounded in real-life situations and analyzing the inner relationships rather than generalize findings about the change of a large group of pre-service teachers’ self-efficacy.

Participant

This study forms a component of a broader multi-case research initiative examining teachers’ professional learning in the STEAM teacher professional development programs in China (Jiang et al. 2021 ; Wang et al. 2018 ; Wang et al. 2024 ). Within this context, one participant, Shuitao (pseudonym), is selected and reported in this current study. Shuitao was a first-year graduate student at a first-tier Normal university in Shanghai, China. Normal universities specialize in teacher education. Her graduate major was mathematics curriculum and instruction. Teaching practice courses are offered to students in this major exclusively during their third year of study. The selection of Shuitao was driven by three primary factors. Firstly, Shuitao attended the entire teacher professional development program and actively engaged in nearly all associated activities. Table 2 illustrates the timeline of the five stages in which Shuitao was involved. Secondly, her undergraduate major was applied mathematics, which was not related to mathematics teaching Footnote 7 . She possessed no prior teaching experience and had not undergone any systematic study of IAT before her involvement in the teacher professional development program. Thirdly, her other master’s courses during her first two years of study focused on mathematics education theory and did not include IAT Footnote 8 . Additionally, she scarcely participated in any other teaching practice outside of the teacher professional development program. As a pre-service teacher, Shuitao harbored a keen interest in IAT. Furthermore, she discovered that she possessed fewer teaching skills compared to her peers who had majored in education during their undergraduate studies. Hence, she had a strong desire to enhance her teaching skills. Consequently, Shuitao decided to participate in our teacher professional development program.

Shuitao was grouped with three other first-year graduate students during the teacher professional development program. She actively collaborated with them at every stage of the program. For instance, they advised each other on their IAT lesson designs, observed each other’s IAT practice and offered constructive suggestions for improvement.

Research question

Shuitao was a mathematics pre-service teacher who participated in one of our teacher professional development programs, focusing on integrating history into mathematics teaching (IHT) Footnote 9 . Notably, this teacher professional development program was designed based on our five-stage framework for teacher professional development programs of IAT. To examine the impact of this teacher professional development program on Shuitao’s self-efficacy related to IHT, this case study addresses the following research question:

What changes in Shuitao’s self-efficacy in individual performance regarding integrating history into mathematics teaching (SE-IHT-IP) may occur through participation in the teacher professional development program?

What changes in Shuitao’s self-efficacy in student outcomes regarding integrating history into mathematics teaching (SE-IHT-SO) may occur through participation in the teacher professional development program?

Data collection and analysis

Before Shuitao joined the teacher professional development program, a one-hour preliminary interview was conducted to guide her in self-narrating her psychological and cognitive state of IHT.

During the teacher professional development program, follow-up unstructured interviews were conducted once a month with Shuitao. All discussions in the development of IHT cases were recorded, Shuitao’s teaching and micro-teaching were videotaped, and the reflection notes, journals, and summary reports written by Shuitao were collected.

After completing the teacher professional development program, Shuitao participated in a semi-structured three-hour interview. The objectives of this interview were twofold: to reassess her self-efficacy and to explore the relationship between her self-efficacy changes and each stage of the teacher professional development program.

Interview data, discussions, reflection notes, journals, summary reports and videos, and analysis records were archived and transcribed before, during, and after the teacher professional development program.

In this study, we primarily utilized data from seven interviews: one conducted before the teacher professional development program, five conducted after each stage of the program, and one conducted upon completion of the program. Additionally, we reviewed Shuitao’s five reflective notes, which were written after each stage, as well as her final summary report that encompassed the entire teacher professional development program.

Merriam’s ( 1998 ) approach to coding data and inductive approach to retrieving possible concepts and themes were employed using a seven-stage method. Considering theoretical underpinnings in qualitative research is common when interpreting data (Strauss and Corbin 1990 ). First, a list based on our conceptual framework of teacher self-efficacy (see Table 1 ) was developed. The list included two codes (i.e., SE-IHT-IP and SE-IHT-SO). Second, all data were sorted chronologically, read and reread to be better understood. Third, texts were coded into multi-colored highlighting and comment balloons. Fourth, the data for groups of meanings, themes, and behaviors were examined. How these groups were connected within the conceptual framework of teacher self-efficacy was confirmed. Fifth, after comparing, confirming, and modifying, the selective codes were extracted and mapped onto the two categories according to the conceptual framework of teacher self-efficacy. Accordingly, changes in SE-IHT-IP and SE-IHT-SO at the five stages of the teacher professional development program were identified, respectively, and then the preliminary findings came (Strauss and Corbin 1990 ). In reality, in Shuitao’s narratives, SE-IHT-IP and SE-IHT-SO were frequently intertwined. Through our coding process, we differentiated between SE-IHT-IP and SE-IHT-SO, enabling us to obtain a more distinct understanding of how these two aspects of teacher self-efficacy evolved over time. This helped us address the two research questions effectively.

Reliability and validity

Two researchers independently analyzed the data to establish inter-rater reliability. The inter-rater reliability was established as kappa = 0.959. Stake ( 1995 ) suggested that the most critical assertions in a study require the greatest effort toward confirmation. In this study, three methods served this purpose and helped ensure the validity of the findings. The first way to substantiate the statement about the changes in self-efficacy was by revisiting each transcript to confirm whether the participant explicitly acknowledged the changes (Yin 2003 ). Such a check was repeated in the analysis of this study. The second way to confirm patterns in the data was by examining whether Shuitao’s statements were replicated in separate interviews (Morris and Usher 2011 ). The third approach involved presenting the preliminary conclusions to Shuitao and affording her the opportunity to provide feedback on the data and conclusions. This step aimed to ascertain whether we accurately grasped the true intentions of her statements and whether our subjective interpretations inadvertently influenced our analysis of her statements. Additionally, data from diverse sources underwent analysis by at least two researchers, with all researchers reaching consensus on each finding.

As each stage of our teacher professional development programs spanned a minimum of three months, numerous documented statements regarding the enhancement of Shuitao’s self-efficacy regarding IHT were recorded. Notably, what we present here offers only a concise overview of findings derived from our qualitative analysis. The changes in Shuitao’s SE-IHT-IP and SE-IHT-SO are organized chronologically, delineating the period before and during the teacher professional development program.

Before the teacher professional development program: “I have no confidence in IHT”

Before the teacher professional development program, Shuitao frequently expressed her lack of confidence in IHT. On the one hand, Shuitao expressed considerable apprehension about her individual performance in IHT. “How can I design and implement IHT lesson plans? I do not know anything [about it]…” With a sense of doubt, confusion and anxiety, Shuitao voiced her lack of confidence in her ability to design and implement an IHT case that would meet the requirements of the curriculum standards. Regarding the reasons for her lack of confidence, Shuitao attributed it to her insufficient theoretical knowledge and practical experience in IHT:

I do not know the basic approaches to IHT that I could follow… it is very difficult for me to find suitable historical materials… I am very confused about how to organize [historical] materials logically around the teaching goals and contents… [Furthermore,] I am [a] novice, [and] I have no IHT experience.

On the other hand, Shuitao articulated very low confidence in the efficacy of her IHT on student outcomes:

I think my IHT will have a limited impact on student outcomes… I do not know any specific effects [of history] other than making students interested in mathematics… In fact, I always think it is difficult for [my] students to understand the history… If students cannot understand [the history], will they feel bored?

This statement suggests that Shuitao did not fully grasp the significance of IHT. In fact, she knew little about the educational significance of history for students, and she harbored no belief that her IHT approach could positively impact students. In sum, her SE-IHT-SO was very low.

After stage 1: “I can do well in the first step of IHT”

After Stage 1, Shuitao indicated a slight improvement in her confidence in IHT. She attributed this improvement to her acquisition of theoretical knowledge in IHT, the approaches for selecting history-related materials, and an understanding of the educational value of history.

One of Shuitao’s primary concerns about implementing IHT before the teacher professional development program was the challenge of sourcing suitable history-related materials. However, after Stage 1, Shuitao explicitly affirmed her capability in this aspect. She shared her experience of organizing history-related materials related to logarithms as an example.

Recognizing the significance of suitable history-related materials in effective IHT implementation, Shuitao acknowledged that conducting literature studies significantly contributed to enhancing her confidence in undertaking this initial step. Furthermore, she expressed increased confidence in designing IHT lesson plans by utilizing history-related materials aligned with teaching objectives derived from the curriculum standards. In other words, her SE-IHT-IP was enhanced. She said:

After experiencing multiple discussions, I gradually know more about what kinds of materials are essential and should be emphasized, what kinds of materials should be adapted, and what kinds of materials should be omitted in the classroom instructions… I have a little confidence to implement IHT that could meet the requirements [of the curriculum standards] since now I can complete the critical first step [of IHT] well…

However, despite the improvement in her confidence in IHT following Stage 1, Shuitao also expressed some concerns. She articulated uncertainty regarding her performance in the subsequent stages of the teacher professional development program. Consequently, her confidence in IHT experienced only a modest increase.

After stage 2: “I participate in the development of IHT cases, and my confidence is increased a little bit more”

Following Stage 2, Shuitao reported further increased confidence in IHT. She attributed this growth to two main factors. Firstly, she successfully developed several instructional designs for IHT through collaboration with in-service teachers. These collaborative experiences enabled her to gain a deeper understanding of IHT approaches and enhance her pedagogical content knowledge in this area, consequently bolstering her confidence in her ability to perform effectively. Secondly, Shuitao observed the tangible impact of IHT cases on students in real classroom settings, which reinforced her belief in the efficacy of IHT. These experiences instilled in her a greater sense of confidence in her capacity to positively influence her students through her implementation of IHT. Shuitao remarked that she gradually understood how to integrate suitable history-related materials into her instructional designs (e.g., employ a genetic approach Footnote 10 ), considering it as the second important step of IHT. She shared her experience of developing IHT instructional design on the concept of logarithms. After creating several iterations of IHT instructional designs, Shuitao emphasized that her confidence in SE-IHT-IP has strengthened. She expressed belief in her ability to apply these approaches to IHT, as well as the pedagogical content knowledge of IHT, acquired through practical experience, in her future teaching endeavors. The following is an excerpt from the interview:

I learned some effective knowledge, skills, techniques and approaches [to IHT]… By employing these approaches, I thought I could [and] I had the confidence to integrate the history into instructional designs very well… For instance, [inspired] by the genetic approach, we designed a series of questions and tasks based on the history of logarithms. The introduction of the new concept of logarithms became very natural, and it perfectly met the requirements of our curriculum standards, [which] asked students to understand the necessity of learning the concept of logarithms…

Shuitao actively observed the classroom teaching conducted by her cooperating in-service teacher. She helped her cooperating in-service teacher in collecting and analyzing students’ feedback. Subsequently, discussions ensued on how to improve the instructional designs based on this feedback. The refined IHT instructional designs were subsequently re-implemented by the in-service teacher. After three rounds of developing IHT cases, Shuitao became increasingly convinced of the significance and efficacy of integrating history into teaching practices, as evidenced by the following excerpt:

The impacts of IHT on students are visible… For instance, more than 93% of the students mentioned in the open-ended questionnaires that they became more interested in mathematics because of the [historical] story of Napier… For another example, according to the results of our surveys, more than 75% of the students stated that they knew log a ( M  +  N ) = log a M  × log a N was wrong because of history… I have a little bit more confidence in the effects of my IHT on students.

This excerpt highlights that Shuitao’s SE-IHT-SO was enhanced. She attributed this enhancement to her realization of the compelling nature of history and her belief in her ability to effectively leverage its power to positively influence her students’ cognitive and emotional development. This also underscores the importance of reinforcing pre-service teachers’ awareness of the significance of history. Nonetheless, Shuiato elucidated that she still retained concerns regarding the effectiveness of her IHT implementation. Her following statement shed light on why her self-efficacy only experienced a marginal increase in this stage:

Knowing how to do it successfully and doing it successfully in practice are two totally different things… I can develop IHT instructional designs well, but I have no idea whether I can implement them well and whether I can introduce the history professionally in practice… My cooperation in-service teacher has a long history of teaching mathematics and gains rich experience in educational practices… If I cannot acquire some required teaching skills and capabilities, I still cannot influence my students powerfully.

After stage 3: “Practice makes perfect, and my SE-IHT-IP is steadily enhanced after a hit”

After successfully developing IHT instructional designs, the next critical step was the implementation of these designs. Drawing from her observations of her cooperating in-service teachers’ IHT implementations and discussions with other pre-service teachers, Shuitao developed her own IHT lesson plans. In Stage 3, she conducted simulated teaching sessions and evaluated her teaching performance ten times Footnote 11 . Shuitao claimed that her SE-IHT-IP steadily improved over the course of these sessions. According to Shuitao, two main processes in Stage 3 facilitated this steady enhancement of SE-IHT-IP.

On the one hand, through the repeated implementation of simulated teaching sessions, Shuitao’s teaching proficiency and fluency markedly improved. Shuitao first described the importance of teaching proficiency and fluency:

Since the detailed history is not included in our curriculum standards and textbooks, if I use my historical materials in class, I have to teach more contents than traditional teachers. Therefore, I have to teach proficiently so that teaching pace becomes a little faster than usual… I have to teach fluently so as to use each minute efficiently in my class. Otherwise, I cannot complete the teaching tasks required [by curriculum standards].

As Shuitao said, at the beginning of Stage 3, her self-efficacy even decreased because she lacked teaching proficiency and fluency and was unable to complete the required teaching tasks:

In the first few times of simulated teaching, I always needed to think for a second about what I should say next when I finish one sentence. I also felt very nervous when I stood in the front of the classrooms. This made my narration of the historical story between Briggs and Napier not fluent at all. I paused many times to look for some hints on my notes… All these made me unable to complete the required teaching tasks… My [teaching] confidence took a hit.

Shuitao quoted the proverb, “practice makes perfect”, and she emphasized that it was repeated practice that improved her teaching proficiency and fluency:

I thought I had no other choice but to practice IHT repeatedly… [At the end of Stage 3,] I could naturally remember most words that I should say when teaching the topics that I selected… My teaching proficiency and fluency was improved through my repeated review of my instructional designs and implementation of IHT in the micro-classrooms… With the improvement [of my teaching proficiency and fluency], I could complete the teaching tasks, and my confidence was increased as well.

In addition, Shuitao also mentioned that through this kind of self-exploration in simulated teaching practice, her teaching skills and capabilities (e.g., blackboard writing, abilities of language organization abilities, etc.) improved. This process was of great help to her enhancement of SE-IHT-IP.

On the other hand, Shuitao’s simulated teaching underwent assessment by herself, with mentors, in-service teachers and fellow pre-service teachers. This comprehensive evaluation process played a pivotal role in enhancing her individual performance and self-efficacy. Reflecting on this aspect, Shuitao articulated the following sentiments in one of her reflection reports:

By watching the videos, conducting self-assessment, and collecting feedback from others, I can understand what I should improve or emphasize in my teaching. [Then,] I think my IHT can better meet the requirements [of curriculum standards]… I think my teaching performance is getting better and better.

After stage 4: “My micro-courses influenced students positively, and my SE-IHT-SO is steadily enhanced”

In Stage 4, Shuitao commenced by creating 5-min micro-course videos. Subsequently, she played these videos in her cooperating in-service teachers’ authentic classroom settings and collected student feedback. This micro-course was played at the end of her cooperating in-service teachers’ lesson Footnote 12 . Shuitao wrote in her reflections that this micro-course of logarithms helped students better understand the nature of mathematics:

According to the results of our surveys, many students stated that they knew the development and evolution of the concept of logarithms is a long process and many mathematicians from different countries have contributed to the development of the concept of logarithms… This indicated that my micro-course helped students better understand the nature of mathematics… My micro-course about the history informed students that mathematics is an evolving and human subject and helped them understand the dynamic development of the [mathematics] concept…

Meanwhile, Shuitao’s micro-course positively influenced some students’ beliefs towards mathematics. As evident from the quote below, integrating historical context into mathematics teaching transformed students’ perception of the subject, boosting Shuitao’s confidence too.

Some students’ responses were very exciting… [O]ne [typical] response stated, he always regarded mathematics as abstract, boring, and dreadful subject; but after seeing the photos of mathematicians and great men and learning the development of the concept of logarithms through the micro-course, he found mathematics could be interesting. He wanted to learn more the interesting history… Students’ such changes made me confident.

Furthermore, during post-class interviews, several students expressed their recognition of the significance of the logarithms concept to Shuitao, attributing this realization to the insights provided by prominent figures in the micro-courses. They also conveyed their intention to exert greater effort in mastering the subject matter. This feedback made Shuitao believe that her IHT had the potential to positively influence students’ attitudes towards learning mathematics.

In summary, Stage 4 marked Shuitao’s first opportunity to directly impact students through her IHT in authentic classroom settings. Despite implementing only brief 5-min micro-courses integrating history during each session, the effectiveness of her short IHT implementation was validated by student feedback. Shuitao unequivocally expressed that students actively engaged with her micro-courses and that these sessions positively influenced them, including attitudes and motivation toward mathematics learning, understanding of mathematics concepts, and beliefs regarding mathematics. These collective factors contributed to a steady enhancement of her confidence in SE-IHT-SO.

After stage 5: “My overall self-efficacy is greatly enhanced”

Following Stage 5, Shuitao reported a significant increase in her overall confidence in IHT, attributing it to gaining mastery through successful implementations of IHT in real classroom settings. On the one hand, Shuitao successfully designed and executed her IHT lesson plans, consistently achieving the teaching objectives mandated by curriculum standards. This significantly enhanced her SE-IHT-IP. On the other hand, as Shuitao’s IHT implementation directly influenced her students, her confidence in SE-IHT-SO experienced considerable improvement.

According to Bandura ( 1997 ), mastery experience is the most powerful source of self-efficacy. Shuitao’s statements confirmed this. As she claimed, her enhanced SE-IHT-IP in Stage 5 mainly came from the experience of successful implementations of IHT in real classrooms:

[Before the teacher professional development program,] I had no idea about implementing IHT… Now, I successfully implemented IHT in senior high school [classrooms] many times… I can complete the teaching tasks and even better completed the teaching objectives required [by the curriculum standards]… The successful experience greatly enhances my confidence to perform well in my future implementation of IHT… Yeah, I think the successful teaching practice experience is the strongest booster of my confidence.

At the end of stage 5, Shuitao’s mentors and in-service teachers gave her a high evaluation. For instance, after Shuitao’s IHT implementation of the concept of logarithms, all mentors and in-service teachers consistently provided feedback that her IHT teaching illustrated the necessity of learning the concept of logarithms and met the requirements of the curriculum standards very well. This kind of verbal persuasion (Bandura 1997 ) enhanced her SE-IHT-IP.

Similarly, Shuitao’s successful experience of influencing students positively through IHT, as one kind of mastery experience, powerfully enhanced her SE-IHT-SO. She described her changes in SE-IHT-SO as follows:

I could not imagine my IHT could be so influential [before]… But now, my IHT implementation directly influenced students in so many aspects… When I witnessed students’ real changes in various cognitive and affective aspects, my confidence was greatly improved.

Shuitao described the influence of her IHT implementation of the concept of logarithms on her students. The depiction is grounded in the outcomes of surveys conducted by Shuitao following her implementation. Shuitao asserted that these results filled her with excitement and confidence regarding her future implementation of IHT.

In summary, following Stage 5 of the teacher professional development program, Shuitao experienced a notable enhancement in her overall self-efficacy, primarily attributed to her successful practical experience in authentic classroom settings during this stage.

A primary objective of our teacher professional development programs is to equip pre-service teachers with the skills and confidence needed to effectively implement IAT. Our findings show that one teacher professional development program, significantly augmented a participant’s TSE-IHT across two dimensions: individual performance and student outcomes. Considering the pressing need to provide STEAM teachers with effective professional training (e.g., Boice et al. 2021 ; Duong et al. 2024 ; Herro et al. 2019 ; Jacques et al. 2020 ; Park and Cho 2022 ; Perignat and Katz-Buonincontro 2019 ), the proposed five-stage framework holds significant promise in both theoretical and practical realms. Furthermore, this study offers a viable solution to address the prevalent issue of low levels of teacher self-efficacy in interdisciplinary teaching, including IAT, which is critical in STEAM education (Zhou et al. 2023 ). This study holds the potential to make unique contributions to the existing body of literature on teacher self-efficacy, teacher professional learning models and the design of teacher professional development programs of IAT.

Firstly, this study enhances our understanding of the development of teacher self-efficacy. Our findings further confirm the complexity of the development of teacher self-efficacy. On the one hand, the observed enhancement of the participant’s teacher self-efficacy did not occur swiftly but unfolded gradually through a protracted, incremental process. Moreover, it is noteworthy that the participant’s self-efficacy exhibited fluctuations, underscoring that the augmentation of teacher self-efficacy is neither straightforward nor linear. On the other hand, the study elucidated that the augmentation of teacher self-efficacy constitutes an intricate, multi-level system that interacts with teacher knowledge, skills, and other beliefs. This finding resonates with prior research on teacher self-efficacy (Morris et al. 2017 ; Xenofontos and Andrews 2020 ). For example, our study revealed that Shuitao’s enhancement of SE-IHT-SO may always be interwoven with her continuous comprehension of the significance of the A&H in classroom settings. Similarly, the participant progressively acknowledged the educational value of A&H in classroom contexts in tandem with the stepwise enhancement of SE-IHT-SO. Factors such as the participant’s pedagogical content knowledge of IHT, instructional design, and teaching skills were also identified as pivotal components of SE-IHT-IP. This finding corroborates Morris and Usher ( 2011 ) assertion that sustained improvements in self-efficacy stem from developing teachers’ skills and knowledge. With the bolstering of SE-IHT-IP, the participant’s related teaching skills and content knowledge also exhibited improvement.

Methodologically, many researchers advocate for qualitative investigations into self-efficacy (e.g., Philippou and Pantziara 2015; Klassen et al. 2011 ; Wyatt 2015 ; Xenofontos and Andrews 2020 ). While acknowledging limitations in sample scope and the generalizability of the findings, this study offers a longitudinal perspective on the stage-by-stage development of teacher self-efficacy and its interactions with different factors (i.e., teacher knowledge, skills, and beliefs), often ignored by quantitative studies. Considering that studies of self-efficacy have been predominantly quantitative, typically drawing on survey techniques and pre-determined scales (Xenofontos and Andrews, 2020 ; Zhou et al. 2023 ), this study highlights the need for greater attention to qualitative studies so that more cultural, situational and contextual factors in the development of self-efficacy can be captured.

Our study provides valuable practical implications for enhancing pre-service teachers’ self-efficacy. We conceptualize teacher self-efficacy in two primary dimensions: individual performance and student outcomes. On the one hand, pre-service teachers can enhance their teaching qualities, boosting their self-efficacy in individual performance. The adage “practice makes perfect” underscores the necessity of ample teaching practice opportunities for pre-service teachers who lack prior teaching experience. Engaging in consistent and reflective practice helps them develop confidence in their teaching qualities. On the other hand, pre-service teachers should focus on positive feedback from their students, reinforcing their self-efficacy in individual performance. Positive student feedback serves as an affirmation of their teaching effectiveness and encourages continuous improvement. Furthermore, our findings highlight the significance of mentors’ and peers’ positive feedback as critical sources of teacher self-efficacy. Mentors and peers play a pivotal role in the professional growth of pre-service teachers by actively encouraging them and recognizing their teaching achievements. Constructive feedback from experienced mentors and supportive peers fosters a collaborative learning environment and bolsters the self-confidence of pre-service teachers. Additionally, our research indicates that pre-service teachers’ self-efficacy may fluctuate. Therefore, mentors should be prepared to help pre-service teachers manage teaching challenges and setbacks, and alleviate any teaching-related anxiety. Mentors can help pre-service teachers build resilience and maintain a positive outlook on their teaching journey through emotional support and guidance. Moreover, a strong correlation exists between teacher self-efficacy and teacher knowledge and skills. Enhancing pre-service teachers’ knowledge base and instructional skills is crucial for bolstering their overall self-efficacy.

Secondly, this study also responds to the appeal to understand teachers’ professional learning from a holistic perspective and interrelate teachers’ professional learning process with student outcome variables (Sancar et al. 2021 ), and thus contributes to the understanding of the complexity of STEAM teachers’ professional learning. On the one hand, we have confirmed Cai et al.’s ( 2020 ) teacher professional learning model in a new context, namely STEAM teacher education. Throughout the teacher professional development program, the pre-service teacher, Shuitao, demonstrated an augmentation in her knowledge, encompassing both content knowledge and pedagogical understanding concerning IHT. Moreover, her beliefs regarding IHT transformed as a result of her engagement in teacher learning across the five stages. This facilitated her in executing effective IHT teaching and improving her students’ outcomes. On the other hand, notably, in our studies (including this current study and some follow-up studies), student feedback is a pivotal tool to assist teachers in discerning the impact they are effectuating. This enables pre-service teachers to grasp the actual efficacy of their teaching efforts and subsequently contributes significantly to the augmentation of their self-efficacy. Such steps have seldom been conducted in prior studies (e.g., Cai et al. 2020 ), where student outcomes are often perceived solely as the results of teachers’ instruction rather than sources informing teacher beliefs. Additionally, this study has validated both the interaction between teaching performance and teacher beliefs and between teacher knowledge and teacher beliefs. These aspects were overlooked in Cai et al.’s ( 2020 ) model. More importantly, while Clarke and Hollingsworth’s ( 2002 ) Interconnected Model of Professional Growth illustrates the connections between the domain of consequence and the personal domain, as well as between the personal domain and the domain of practice, it does not adequately clarify the complex relationships among the factors within the personal domain (e.g., the interaction between teacher knowledge and teacher beliefs). Therefore, our study also supplements Clarke and Hollingsworth’s ( 2002 ) model by addressing these intricacies. Based on our findings, an updated model of teacher professional learning has been proposed, as shown in Fig. 3 . This expanded model indicates that teacher learning should be an ongoing and sustainable process, with the enhancement of student learning not marking the conclusion of teacher learning, but rather serving as the catalyst for a new phase of learning. In this sense, we advocate for further research to investigate the tangible impacts of teacher professional development programs on students and how those impacts stimulate subsequent cycles of teacher learning.

Note: Paths in blue were proposed by Cai et al. ( 2020 ), and paths in yellow are proposed and verified in this study.

Thirdly, in light of the updated model of teacher professional learning (see Fig. 3 ), this study provides insights into the design of teacher professional development programs of IAT. According to Huang et al. ( 2022 ), to date, very few studies have set goals to “develop a comprehensive understanding of effective designs” for STEM (or STEAM) teacher professional development programs (p. 15). To fill this gap, this study proposes a novel and effective five-stage framework for teacher professional development programs of IAT. This framework provides a possible and feasible solution to the challenges of STEAM teacher professional development programs’ design and planning, and teachers’ IAT practice (Boice et al. 2021 ; Herro et al. 2019 ; Jacques et al. 2020 ; Park and Cho 2022 ; Perignat and Katz-Buonincontro 2019 ).

Specifically, our five-stage framework incorporates at least six important features. Firstly, teacher professional development programs should focus on specific STEAM content. Given the expansive nature of STEAM, teacher professional development programs cannot feasibly encompass all facets of its contents. Consistent with recommendations by Cai et al. ( 2020 ), Desimone et al. ( 2002 ) and Garet et al. ( 2001 ), an effective teacher professional development program should prioritize content focus. Our five-stage framework is centered on IAT. Throughout an 18-month duration, each pre-service teacher is limited to selecting one subcomponent of A&H, such as history, for integration into their subject teaching (i.e., mathematics teaching, technology teaching or science teaching) within one teacher professional development program. Secondly, in response to the appeals that teacher professional development programs should shift from emphasizing teaching and instruction to emphasizing student learning (Cai et al. 2020 ; Calabrese et al. 2024 ; Hwang et al. 2024 ; Marco and Palatnik 2024 ; Örnek and Soylu 2021 ), our framework requires pre-service teachers to pay close attention to the effects of IAT on student learning outcomes, and use students’ feedback as the basis of improving their instruction. Thirdly, prior studies found that teacher education with a preference for theory led to pre-service teachers’ dissatisfaction with the quality of teacher professional development program and hindered the development of pre-service teachers’ teaching skills and teaching beliefs, which also widened the gap between theory and practice (Hennissen et al. 2017 ; Ord and Nuttall 2016 ). In this regard, our five-stage framework connects theory and teaching practice closely. In particular, pre-service teachers can experience the values of IAT not only through theoretical learning but also through diverse teaching practices. Fourthly, we build a teacher community of practice tailored for pre-service teachers. Additionally, we aim to encourage greater participation of in-service teachers in such teacher professional development programs designed for pre-service educators in STEAM teacher education. By engaging in such programs, in-service teachers can offer valuable teaching opportunities for pre-service educators and contribute their insights and experiences from teaching practice. Importantly, pre-service teachers stand to gain from the in-service teachers’ familiarity with textbooks, subject matter expertise, and better understanding of student dynamics. Fifthly, our five-stage framework lasts for an extended period, spanning 18 months. This duration ensures that pre-service teachers engage in a sustained and comprehensive learning journey. Lastly, our framework facilitates a practical understanding of “integration” by offering detailed, sequential instructions for blending two disciplines in teaching. For example, our teacher professional development programs prioritize systematic learning of pedagogical theories and simulated teaching experiences before pre-service teachers embark on real STEAM teaching endeavors. This approach is designed to mitigate the risk of unsuccessful experiences during initial teaching efforts, thereby safeguarding pre-service teachers’ teacher self-efficacy. Considering the complexity of “integration” in interdisciplinary teaching practices, including IAT (Han et al. 2022 ; Ryu et al. 2019 ), we believe detailed stage-by-stage and step-by-step instructions are crucial components of relevant pre-service teacher professional development programs. Notably, this aspect, emphasizing structural instructional guidance, has not been explicitly addressed in prior research (e.g., Cai et al. 2020 ). Figure 4 illustrates the six important features outlined in this study, encompassing both established elements and the novel addition proposed herein, describing an effective teacher professional development program.

Note: STEAM refers to science, technology, engineering, arts and humanities, and mathematics.

The successful implementation of this framework is also related to the Chinese teacher education system and cultural background. For instance, the Chinese government has promoted many university-school collaboration initiatives, encouraging in-service teachers to provide guidance and practical opportunities for pre-service teachers (Lu et al. 2019 ). Influenced by Confucian values emphasizing altruism, many experienced in-service teachers in China are eager to assist pre-service teachers, helping them better realize their teaching career aspirations. It is reported that experienced in-service teachers in China show significantly higher motivation than their international peers when mentoring pre-service teachers (Lu et al. 2019 ). Therefore, for the successful implementation of this framework in other countries, it is crucial for universities to forge close collaborative relationships with K-12 schools and actively involve K-12 teachers in pre-service teacher education.

Notably, approximately 5% of our participants dropped out midway as they found that the IAT practice was too challenging or felt overwhelmed by the number of required tasks in the program. Consequently, we are exploring options to potentially simplify this framework in future iterations.

Without minimizing the limitations of this study, it is important to recognize that a qualitative longitudinal case study can be a useful means of shedding light on the development of a pre-service STEAM teacher’s self-efficacy. However, this methodology did not allow for a pre-post or a quasi-experimental design, and the effectiveness of our five-stage framework could not be confirmed quantitatively. In the future, conducting more experimental or design-based studies could further validate the effectiveness of our framework and broaden our findings. Furthermore, future studies should incorporate triangulation methods and utilize multiple data sources to enhance the reliability and validity of the findings. Meanwhile, owing to space limitations, we could only report the changes in Shuitao’s SE-IHT-IP and SE-IHT-SO here, and we could not describe the teacher self-efficacy of other participants regarding IAT. While nearly all of the pre-service teachers experienced an improvement in their teacher self-efficacy concerning IAT upon participating in our teacher professional development programs, the processes of their change were not entirely uniform. We will need to report the specific findings of these variations in the future. Further studies are also needed to explore the factors contributing to these variations. Moreover, following this study, we are implementing more teacher professional development programs of IAT. Future studies can explore the impact of this framework on additional aspects of pre-service STEAM teachers’ professional development. This will help gain a more comprehensive understanding of its effectiveness and potential areas for further improvement. Additionally, our five-stage framework was initially developed and implemented within the Chinese teacher education system. Future research should investigate how this framework can be adapted in other educational systems and cultural contexts.

The impetus behind this study stems from the burgeoning discourse advocating for the integration of A&H disciplines into STEM education on a global scale (e.g., Land 2020 ; Park and Cho 2022 ; Uştu et al. 2021 ; Vaziri and Bradburn 2021 ). Concurrently, there exists a pervasive concern regarding the challenges teachers face in implementing STEAM approaches, particularly in the context of IAT practices (e.g., Boice et al. 2021 ; Herro et al. 2019 ; Jacques et al. 2020 ; Park and Cho 2022 ; Perignat and Katz-Buonincontro 2019 ). To tackle this challenge, we first proposed a five-stage framework designed for teacher professional development programs of IAT. Then, utilizing this innovative framework, we implemented a series of teacher professional development programs. Drawing from the recommendations of Bray-Clark and Bates ( 2003 ), Kelley et al. ( 2020 ) and Zhou et al. ( 2023 ), we have selected teacher self-efficacy as a key metric to examine the effectiveness of the five-stage framework. Through a qualitative longitudinal case study, we scrutinized the influence of a specific teacher professional development program on the self-efficacy of a single pre-service teacher over an 18-month period. Our findings revealed a notable enhancement in teacher self-efficacy across both individual performance and student outcomes. The observed enhancement of the participant’s teacher self-efficacy did not occur swiftly but unfolded gradually through a prolonged, incremental process. Building on our findings, an updated model of teacher learning has been proposed. The updated model illustrates that teacher learning should be viewed as a continuous and sustainable process, wherein teaching performance, teacher beliefs, and teacher knowledge dynamically interact with one another. The updated model also confirms that teacher learning is inherently intertwined with student learning in STEAM education. Furthermore, this study also summarizes effective design features of STEAM teacher professional development programs.

Data availability

The datasets generated and/or analyzed during this study are not publicly available due to general data protection regulations, but are available from the corresponding author on reasonable request.

In their review article, Morris et al. ( 2017 ) equated “teaching self-efficacy” and “teacher self-efficacy” as synonymous concepts. This perspective is also adopted in this study.

An effective teacher professional development program should have specific, focused, and clear content instead of broad and scattered ones. Therefore, each pre-service teacher can only choose to integrate one subcomponent of A&H into their teaching in one teacher professional development program. For instance, Shuitao, a mathematics pre-service teacher, participated in one teacher professional development program focused on integrating history into mathematics teaching. However, she did not explore the integration of other subcomponents of A&H into her teaching during her graduate studies.

In the micro-classrooms, multi-angle, and multi-point high-definition video recorders are set up to record the teaching process.

In micro-teaching, mentors, in-service teachers, and other fellow pre-service teachers take on the roles of students.

In China, teachers can video record one section of a lesson and play them in formal classes. This is a practice known as a micro-course. For instance, in one teacher professional development program of integrating history into mathematics teaching, micro-courses encompass various mathematics concepts, methods, ideas, history-related material and related topics. Typically, teachers use these micro-courses to broaden students’ views, foster inquiry-based learning, and cultivate critical thinking skills. Such initiatives play an important role in improving teaching quality.

Many university-school collaboration initiatives in China focus on pre-service teachers’ practicum experiences (Lu et al. 2019 ). Our teacher professional development program is also supported by many K-12 schools in Shanghai. Personal information in videos is strictly protected.

In China, students are not required to pursue a graduate major that matches their undergraduate major. Most participants in our teacher professional development programs did not pursue undergraduate degrees in education-related fields.

Shuitao’s university reserves Wednesday afternoons for students to engage in various programs or clubs, as classes are not scheduled during this time. Similarly, our teacher professional development program activities are planned for Wednesday afternoons to avoid overlapping with participants’ other coursework commitments.

History is one of the most important components of A&H (Park and Cho 2022 ).

To learn more about genetic approach (i.e., genetic principle), see Jankvist ( 2009 ).

For the assessment process, see Fig. 2 .

Shuitao’s cooperating in-service teacher taught the concept of logarithms in Stage 2. In Stage 4, the teaching objective of her cooperating in-service teacher’s review lesson was to help students review the concept of logarithms to prepare students for the final exam.

Akiba M, Murata A, Howard C, Wilkinson B, Fabrega J (2019) Race to the top and lesson study implementation in Florida: District policy and leadership for teacher professional development. In: Huang R, Takahashi A, daPonte JP (eds) Theory and practice of lesson study in mathematics, pp. 731–754. Springer, Cham. https://doi.org/10.1007/978-3-030-04031-4_35

Alkhabra YA, Ibrahem UM, Alkhabra SA (2023) Augmented reality technology in enhancing learning retention and critical thinking according to STEAM program. Humanit Soc Sci Commun 10:174. https://doi.org/10.1057/s41599-023-01650-w

Article   Google Scholar  

Alwafi EM, Downey C, Kinchin G (2020) Promoting pre-service teachers’ engagement in an online professional learning community: Support from practitioners. J Professional Cap Community 5(2):129–146. https://doi.org/10.1108/JPCC-10-2019-0027

Archibald S, Coggshall JG, Croft A, Goe L (2011) High-quality professional development for all teachers: effectively allocating resources. National Comprehensive Center for Teacher Quality, Washington, DC

Google Scholar  

Bandura A (1977) Self-efficacy: Toward a unifying theory of behavioral change. Psychological Rev 84:191–215. https://doi.org/10.1016/0146-6402(78)90002-4

Article   CAS   Google Scholar  

Bandura A (1986) The explanatory and predictive scope of self-efficacy theory. J Soc Clin Psychol 4:359–373. https://doi.org/10.1521/jscp.1986.4.3.359

Bandura A (1997) Self-efficacy: The exercise of control. Freeman, New York

Basckin C, Strnadová I, Cumming TM (2021) Teacher beliefs about evidence-based practice: A systematic review. Int J Educ Res 106:101727. https://doi.org/10.1016/j.ijer.2020.101727

Bray-Clark N, Bates R (2003) Self-efficacy beliefs and teacher effectiveness: Implications for professional development. Prof Educ 26(1):13–22

Blonder R, Benny N, Jones MG (2014) Teaching self-efficacy of science teachers. In: Evans R, Luft J, Czerniak C, Pea C (eds), The role of science teachers’ beliefs in international classrooms: From teacher actions to student learning, Sense Publishers, Rotterdam, Zuid-Holland, pp. 3–16

Boice KL, Jackson JR, Alemdar M, Rao AE, Grossman S, Usselman M (2021) Supporting teachers on their STEAM journey: A collaborative STEAM teacher training program. Educ Sci 11(3):105. https://doi.org/10.3390/educsci11030105

Cai J (2017) Longitudinally investigating the effect of teacher professional development on instructional practice and student learning: A focus on mathematical problem posing. The University of Delaware, Newark, DE

Cai J, Chen T, Li X, Xu R, Zhang S, Hu Y, Zhang L, Song N (2020) Exploring the impact of a problem-posing workshop on elementary school mathematics teachers’ conceptions on problem posing and lesson design. Int J Educ Res 102:101404. https://doi.org/10.1016/j.ijer.2019.02.004

Calabrese JE, Capraro MM, Viruru R (2024) Semantic structure and problem posing: Preservice teachers’ experience. School Sci Math. https://doi.org/10.1111/ssm.12648

Clarke D, Hollingsworth H (2002) Elaborating a model of teacher professional growth. Teach Teach Educ 18(8):947–967. https://doi.org/10.1016/S0742-051X(02)00053-7

Corden A, Millar J (2007) Time and change: A review of the qualitative longitudinal research literature for social policy. Soc Policy Soc 6(4):583–592. https://doi.org/10.1017/S1474746407003910

Darling-Hammond L, Hyler ME, Gardner M (2017) Effective teacher professional development. Learning Policy Institute, Palo Alto, CA

Book   Google Scholar  

de la Garza A (2021) Internationalizing the curriculum for STEAM (STEM+ Arts and Humanities): From intercultural competence to cultural humility. J Stud Int Educ 25(2):123–135. https://doi.org/10.1177/1028315319888468

Article   MathSciNet   Google Scholar  

Desimone LM, Garet MS (2015) Best practices in teachers’ professional development in the United States. Psychol, Soc, Educ 7(3):252–263

Desimone LM, Porter AC, Garet MS, Yoon KS, Birman BF (2002) Effects of professional development on teachers’ instruction: Results from a three-year longitudinal study. Educ Evaluation Policy Anal 24(2):81–112. https://doi.org/10.3102/01623737024002081

Dicks SG, Northam HL, van Haren FM, Boer DP (2023) The bereavement experiences of families of potential organ donors: a qualitative longitudinal case study illuminating opportunities for family care. Int J Qualitative Stud Health Well-being 18(1):1–24. https://doi.org/10.1080/17482631.2022.2149100

Ding M, Huang R, Pressimone Beckowski C, Li X, Li Y (2024) A review of lesson study in mathematics education from 2015 to 2022: implementation and impact. ZDM Math Educ 56:87–99. https://doi.org/10.1007/s11858-023-01538-8

Duong NH, Nam NH, Trung TT (2024) Factors affecting the implementation of STEAM education among primary school teachers in various countries and Vietnamese educators: comparative analysis. Education 3–13. https://doi.org/10.1080/03004279.2024.2318239

English LD (2016) STEM education K-12: Perspectives on integration. Int J STEM Educ 3:3. https://doi.org/10.1186/s40594-016-0036-1

Garet MS, Porter AC, Desimone L, Birman BF, Yoon KS (2001) What makes professional development effective? Results from a national sample of teachers. Am Educ Res J 38(4):915–945. https://doi.org/10.3102/00028312038004915

Gates AE (2017) Benefits of a STEAM collaboration in Newark, New Jersey: Volcano simulation through a glass-making experience. J Geosci Educ 65(1):4–11. https://doi.org/10.5408/16-188.1

Geng J, Jong MSY, Chai CS (2019) Hong Kong teachers’ self-efficacy and concerns about STEM education. Asia-Pac Educ Researcher 28:35–45. https://doi.org/10.1007/s40299-018-0414-1

Han J, Kelley T, Knowles JG (2022) Building a sustainable model of integrated stem education: investigating secondary school STEM classes after an integrated STEM project. Int J Technol Design Educ. https://doi.org/10.1007/s10798-022-09777-8

Henderson S, Holland J, McGrellis S, Sharpe S, Thomson R (2012) Storying qualitative longitudinal research: Sequence, voice and motif. Qualitative Res 12(1):16–34. https://doi.org/10.1177/1468794111426232

Hennissen P, Beckers H, Moerkerke G (2017) Linking practice to theory in teacher education: A growth in cognitive structures. Teach Teach Educ 63:314–325. https://doi.org/10.1016/j.tate.2017.01.008

Henson RK (2002) From adolescent angst to adulthood: Substantive implications and measurement dilemmas in the development of teacher efficacy research. Educ Psychologist 37:137–150. https://doi.org/10.1207/S15326985EP3703_1

Herro D, Quigley C (2016) Innovating with STEAM in middle school classrooms: remixing education. Horizon 24(3):190–204. https://doi.org/10.1108/OTH-03-2016-0008

Herro D, Quigley C, Cian H (2019) The challenges of STEAM instruction: Lessons from the field. Action Teach Educ 41(2):172–190. https://doi.org/10.1080/01626620.2018.1551159

Huang B, Jong MSY, Tu YF, Hwang GJ, Chai CS, Jiang MYC (2022) Trends and exemplary practices of STEM teacher professional development programs in K-12 contexts: A systematic review of empirical studies. Comput Educ 189:104577. https://doi.org/10.1016/j.compedu.2022.104577

Hunter-Doniger T, Sydow L (2016) A journey from STEM to STEAM: A middle school case study. Clearing House 89(4-5):159–166. https://doi.org/10.1080/00098655.2016.1170461

Hwang S, Xu R, Yao Y, Cai J (2024) Learning to teach through problem posing: A teacher’s journey in a networked teacher−researcher partnership. J Math Behav 73:101120. https://doi.org/10.1016/j.jmathb.2023.101120

Jacques LA, Cian H, Herro DC, Quigley C (2020) The impact of questioning techniques on STEAM instruction. Action Teach Educ 42(3):290–308. https://doi.org/10.1080/01626620.2019.1638848

Jankvist UT (2009) A categorization of the “whys” and “hows” of using history in mathematics education. Educ Stud Math 71:235–261. https://doi.org/10.1007/s10649-008-9174-9

Jiang H, Chugh R, Turnbull D, Wang X, Chen S (2023) Modeling the impact of intrinsic coding interest on STEM career interest: evidence from senior high school students in two large Chinese cities. Educ Inf Technol 28:2639–2659. https://doi.org/10.1007/s10639-022-11277-0

Jiang H, Chugh R, Turnbull D, Wang X, Chen S (2024a) Exploring the effects of technology-related informal mathematics learning activities: A structural equation modeling analysis. Int J Sci Math Educ . Advance online publication. https://doi.org/10.1007/s10763-024-10456-4

Jiang H, Islam AYMA, Gu X, Guan J (2024b) How do thinking styles and STEM attitudes have effects on computational thinking? A structural equation modeling analysis. J Res Sci Teach 61:645–673. https://doi.org/10.1002/tea.21899

Jiang H, Turnbull D, Wang X, Chugh R, Dou Y, Chen S (2022) How do mathematics interest and self-efficacy influence coding interest and self-efficacy? A structural equation modeling analysis. Int J Educ Res 115:102058. https://doi.org/10.1016/j.ijer.2022.102058

Jiang H, Wang K, Wang X, Lei X, Huang Z (2021) Understanding a STEM teacher’s emotions and professional identities: A three-year longitudinal case study. Int J STEM Educ 8:51. https://doi.org/10.1186/s40594-021-00309-9

Kelley TR, Knowles JG, Holland JD, Han J (2020) Increasing high school teachers self-efficacy for integrated STEM instruction through a collaborative community of practice. Int J STEM Educ 7:14. https://doi.org/10.1186/s40594-020-00211-w

Klassen RM, Tze VMC, Betts SM, Gordon KA (2011) Teacher efficacy research 1998–2009: Signs of progress or unfulfilled promise? Educ Psychol Rev 23(1):21–43. https://doi.org/10.1007/s10648-010-9141-8

Land M (2020) The importance of integrating the arts into STEM curriculum. In: Stewart AJ, Mueller MP, Tippins DJ (eds), Converting STEM into STEAM programs, pp. 11–19. Springer. https://doi.org/10.1007/978-3-030-25101-7_2

Lee C, Bobko P (1994) Self-efficacy beliefs: Comparison of five measures. J Appl Psychol 79(3):364–369. https://doi.org/10.1037/0021-9010.79.3.364

Li W, Chiang FK (2019) Preservice teachers’ perceptions of STEAM education and attitudes toward STEAM disciplines and careers in China. In: Sengupta P, Shanahan MC, Kim B, (eds), Critical, transdisciplinary and embodied approaches in STEM education. Springer. https://doi.org/10.1007/978-3-030-29489-2_5

Liu M, Zwart R, Bronkhorst L, Wubbels T (2022) Chinese student teachers’ beliefs and the role of teaching experiences in the development of their beliefs. Teach Teach Educ 109:103525. https://doi.org/10.1016/j.tate.2021.103525

Liu S, Xu X, Stronge J (2018) The influences of teachers’ perceptions of using student achievement data in evaluation and their self-efficacy on job satisfaction: evidence from China. Asia Pac Educ Rev 19:493–509. https://doi.org/10.1007/s12564-018-9552-7

Long T, Zhao G, Yang X, Zhao R, Chen Q (2021) Bridging the belief-action gap in a teachers’ professional learning community on teaching of thinking. Professional Dev Educ 47(5):729–744. https://doi.org/10.1080/19415257.2019.1647872

Lu L, Wang F, Ma Y, Clarke A, Collins J (2019) Exploring Chinese teachers’ commitment to being a cooperating teacher in a university-government-school initiative for rural practicum placements. In: Liu WC, Goh CCM (eds), Teachers’ perceptions, experience and learning, pp. 33–54. Routledge, London

Lyu S, Niu S, Yuan J, Zhan Z (2024) Developing professional capital through technology-enabled university-school-enterprise collaboration: an innovative model for C-STEAM preservice teacher education in the Greater Bay area. Asia Pacific J Innov Entrepreneurship. https://doi.org/10.1108/APJIE-01-2024-0014

Marco N, Palatnik A (2024) From “learning to variate” to “variate for learning”: Teachers learning through collaborative, iterative context-based mathematical problem posing. J Math Behav 73:101119. https://doi.org/10.1016/j.jmathb.2023.101119

Merriam SB (1998) Qualitative research and case study applications in education. Jossey-Bass Publishers, Hoboken, New Jersey

Morris DB, Usher EL (2011) Developing teaching self-efficacy in research institutions: A study of award-winning professors. Contemp Educ Psychol 36(3):232–245. https://doi.org/10.1016/j.cedpsych.2010.10.005

Morris DB, Usher EL, Chen JA (2017) Reconceptualizing the sources of teaching self-efficacy: A critical review of emerging literature. Educ Psychol Rev 29(4):795–833. https://doi.org/10.1007/s10648-016-9378-y

Matusovich HM, Streveler RA, Miller RL (2010) Why do students choose engineering? A qualitative, longitudinal investigation of students’ motivational values. J Eng Educ 99(4):289–303. https://doi.org/10.1002/j.2168-9830.2010.tb01064.x

Näykki P, Kontturi H, Seppänen V, Impiö N, Järvelä S (2021) Teachers as learners–a qualitative exploration of pre-service and in-service teachers’ continuous learning community OpenDigi. J Educ Teach 47(4):495–512. https://doi.org/10.1080/02607476.2021.1904777

OECD (2018) Teaching and learning international survey (TALIS) 2018 conceptual framework. OECD, Paris

Örnek T, Soylu Y (2021) A model design to be used in teaching problem posing to develop problem-posing skills. Think Skills Creativity 41:100905. https://doi.org/10.1016/j.tsc.2021.100905

Ord K, Nuttall J (2016) Bodies of knowledge: The concept of embodiment as an alternative to theory/practice debates in the preparation of teachers. Teach Teach Educ 60:355–362. https://doi.org/10.1016/j.tate.2016.05.019

Ozkan G, Umdu Topsakal U (2021) Investigating the effectiveness of STEAM education on students’ conceptual understanding of force and energy topics. Res Sci Technol Educ 39(4):441–460. https://doi.org/10.1080/02635143.2020.1769586

Park W, Cho H (2022) The interaction of history and STEM learning goals in teacher-developed curriculum materials: opportunities and challenges for STEAM education. Asia Pacific Educ Rev. https://doi.org/10.1007/s12564-022-09741-0

Perignat E, Katz-Buonincontro J (2019) STEAM in practice and research: An integrative literature review. Think Skills Creativity 31:31–43. https://doi.org/10.1016/j.tsc.2018.10.002

Philipp RA (2007) Mathematics teachers’ beliefs and affect. In: Lester Jr FK, (ed), Second handbook of research on mathematics teaching and learning, pp. 257–315. Information Age, Charlotte, NC

Quigley CF, Herro D, Jamil FM (2017) Developing a conceptual model of STEAM teaching practices. Sch Sci Math 117(1–2):1–12. https://doi.org/10.1111/ssm.12201

Ro S, Xiao S, Zhou Z (2022) Starting up STEAM in China: A case study of technology entrepreneurship for STEAM education in China. In: Ray P, Shaw R (eds), Technology entrepreneurship and sustainable development, pp. 115–136. Springer. https://doi.org/10.1007/978-981-19-2053-0_6

Roth KJ, Bintz J, Wickler NI, Hvidsten C, Taylor J, Beardsley PM, Wilson CD (2017) Design principles for effective video-based professional development. Int J STEM Educ 4:31. https://doi.org/10.1186/s40594-017-0091-2

Article   PubMed   PubMed Central   Google Scholar  

Ryu M, Mentzer N, Knobloch N (2019) Preservice teachers’ experiences of STEM integration: Challenges and implications for integrated STEM teacher preparation. Int J Technol Des Educ, 29:493–512. https://doi.org/10.1007/s10798-018-9440-9

Sancar R, Atal D, Deryakulu D (2021) A new framework for teachers’ professional development. Teach Teach Educ 101:103305. https://doi.org/10.1016/j.tate.2021.103305

Sanz-Camarero R, Ortiz-Revilla J, Greca IM (2023) The place of the arts within integrated education. Arts Educ Policy Rev. https://doi.org/10.1080/10632913.2023.2260917

Shirani F, Henwood K (2011) Continuity and change in a qualitative longitudinal study of fatherhood: relevance without responsibility. Int J Soc Res Methodol 14(1):17–29. https://doi.org/10.1080/13645571003690876

Smith CE, Paré JN (2016) Exploring Klein bottles through pottery: A STEAM investigation. Math Teach 110(3):208–214. https://doi.org/10.5951/mathteacher.110.3.0208

Soprano K, Yang L (2013) Inquiring into my science teaching through action research: A case study on one pre-service teacher’s inquiry-based science teaching and self-efficacy. Int J Sci Math Educ 11(6):1351–1368. https://doi.org/10.1007/s10763-012-9380-x

Stake RE (1995) The art of case study research. Sage Publication, Thousand Oaks, California

Stohlmann M, Moore T, Roehrig G (2012) Considerations for teaching integrated STEM education. J Pre Coll Eng Educ Res 2(1):28–34. https://doi.org/10.5703/1288284314653

Strauss AL, Corbin JM (1990) Basics of qualitative research. Sage Publications, Thousand Oaks, California

Taimalu M, Luik P (2019) The impact of beliefs and knowledge on the integration of technology among teacher educators: A path analysis. Teach Teach Educ 79:101–110. https://doi.org/10.1016/j.tate.2018.12.012

Takahashi A, McDougal T (2016) Collaborative lesson research: Maximizing the impact of lesson study. ZDM Math Educ 48:513–526. https://doi.org/10.1007/s11858-015-0752-x

Thompson AG (1992) Teachers’ beliefs and conceptions: A synthesis of the research. In: Grouws DA (ed), Handbook of research on mathematics teaching and learning, pp. 127–146. Macmillan, New York

Tschannen-Moran M, Woolfolk Hoy A, Hoy WK (1998) Teacher efficacy: Its meaning and measure. Rev Educ Res 68:202–248. https://doi.org/10.3102/00346543068002202

Unfried A, Rachmatullah A, Alexander A, Wiebe E (2022) An alternative to STEBI-A: validation of the T-STEM science scale. Int J STEM Educ 9:24. https://doi.org/10.1186/s40594-022-00339-x

Uştu H, Saito T, Mentiş Taş A (2021) Integration of art into STEM education at primary schools: an action research study with primary school teachers. Syst Pract Action Res. https://doi.org/10.1007/s11213-021-09570-z

Vaziri H, Bradburn NM (2021) Flourishing effects of integrating the arts and humanities in STEM Education: A review of past studies and an agenda for future research. In: Tay L, Pawelski JO (eds), The Oxford handbook of the positive humanities, pp. 71–82. Oxford University Press, Oxford

Wang K, Wang X, Li Y, Rugh MS (2018) A framework for integrating the history of mathematics into teaching in Shanghai. Educ Stud Math 98:135–155. https://doi.org/10.1007/s10649-018-9811-x

Wang Z, Jiang H, Jin W, Jiang J, Liu J, Guan J, Liu Y, Bin E (2024) Examining the antecedents of novice stem teachers’ job satisfaction: The roles of personality traits, perceived social support, and work engagement. Behav Sci 14(3):214. https://doi.org/10.3390/bs14030214

Wenger E, McDermott R, Snyder WM (2002) Cultivating communities of practice. Harvard Business School Press, Boston, MA

Wong JT, Bui NN, Fields DT, Hughes BS (2022) A learning experience design approach to online professional development for teaching science through the arts: Evaluation of teacher content knowledge, self-efficacy and STEAM perceptions. J Sci Teacher Educ. https://doi.org/10.1080/1046560X.2022.2112552

Wyatt M (2015) Using qualitative research methods to assess the degree of fit between teachers’ reported self-efficacy beliefs and their practical knowledge during teacher education. Aust J Teach Educ 40(1):117–145

Xenofontos C, Andrews P (2020) The discursive construction of mathematics teacher self-efficacy. Educ Stud Math 105(2):261–283. https://doi.org/10.1007/s10649-020-09990-z

Yin R (2003) Case study research: Design and methods. Sage Publications, Thousand Oaks, California

Zakariya YF (2020) Effects of school climate and teacher self-efficacy on job satisfaction of mostly STEM teachers: a structural multigroup invariance approach. Int J STEM Educ 7:10. https://doi.org/10.1186/s40594-020-00209-4

Zee M, de Jong PF, Koomen HM (2017) From externalizing student behavior to student-specific teacher self-efficacy: The role of teacher-perceived conflict and closeness in the student–teacher relationship. Contemp Educ Psychol 51:37–50. https://doi.org/10.1016/j.cedpsych.2017.06.009

Zee M, Koomen HM (2016) Teacher self-efficacy and its effects on classroom processes, student academic adjustment, and teacher well-being: A synthesis of 40 years of research. Rev Educ Res 86(4):981–1015. https://doi.org/10.3102/0034654315626801

Zhan Z, Li Y, Mei H, Lyu S (2023) Key competencies acquired from STEM education: gender-differentiated parental expectations. Humanit Soc Sci Commun 10:464. https://doi.org/10.1057/s41599-023-01946-x

Zhan Z, Niu S (2023) Subject integration and theme evolution of STEM education in K-12 and higher education research. Humanit Soc Sci Commun 10:781. https://doi.org/10.1057/s41599-023-02303-8

Zhong B, Liu X, Li X (2024) Effects of reverse engineering pedagogy on students’ learning performance in STEM education: The bridge-design project as an example. Heliyon 10(2):e24278. https://doi.org/10.1016/j.heliyon.2024.e24278

Zhong B, Liu X, Zhan Z, Ke Q, Wang F (2022) What should a Chinese top-level design in STEM Education look like? Humanit Soc Sci Commun 9:261. https://doi.org/10.1057/s41599-022-01279-1

Zhou B (2021) Cultivation of Ed. M. to bring up “famous subject teachers”: practical exploration and policy suggestions. Teach Educ Res 33(5):19–26. https://doi.org/10.13445/j.cnki.t.e.r.2021.05.003

Zhou X, Shu L, Xu Z, Padrón Y (2023) The effect of professional development on in-service STEM teachers’ self-efficacy: a meta-analysis of experimental studies. Int J STEM Educ 10:37. https://doi.org/10.1186/s40594-023-00422-x

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Acknowledgements

This research is funded by 2021 National Natural Science Foundation of China (Grant No.62177042), 2024 Zhejiang Provincial Natural Science Foundation of China (Grant No. Y24F020039), and 2024 Zhejiang Educational Science Planning Project (Grant No. 2024SCG247).

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Xuesong Zhai

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College of Education, Zhejiang University, Hangzhou, China

Haozhe Jiang & Xuesong Zhai

School of Engineering and Technology, CML‑NET & CREATE Research Centres, Central Queensland University, North Rockhampton, QLD, Australia

Ritesh Chugh

Hangzhou International Urbanology Research Center & Zhejiang Urban Governance Studies Center, Hangzhou, China

Department of Teacher Education, Nicholls State University, Thibodaux, LA, USA

School of Mathematical Sciences, East China Normal University, Shanghai, China

Xiaoqin Wang

College of Teacher Education, Faculty of Education, East China Normal University, Shanghai, China

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Conceptualization - Haozhe Jiang; methodology - Haozhe Jiang; software - Xuesong Zhai; formal analysis - Haozhe Jiang & Ke Wang; investigation - Haozhe Jiang; resources - Haozhe Jiang, Xuesong Zhai & Xiaoqin Wang; data curation - Haozhe Jiang & Ke Wang; writing—original draft preparation - Haozhe Jiang & Ritesh Chugh; writing—review and editing - Ritesh Chugh & Ke Wang; visualization - Haozhe Jiang, Ke Wang & Xiaoqin Wang; supervision - Xuesong Zhai & Xiaoqin Wang; project administration - Xuesong Zhai & Xiaoqin Wang; and funding acquisition - Xuesong Zhai & Xiaoqin Wang. All authors have read and agreed to the published version of the manuscript.

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Jiang, H., Chugh, R., Zhai, X. et al. Longitudinal analysis of teacher self-efficacy evolution during a STEAM professional development program: a qualitative case study. Humanit Soc Sci Commun 11 , 1162 (2024). https://doi.org/10.1057/s41599-024-03655-5

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This post is primarily located within the WelfareExperiences project (see below) – a team of more than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. 

Within King’s itself, this post will be part of the Work, Welfare and Mental Health programme within the ESRC Centre for Society & Mental Health – a mixed methods, multidisciplinary, academic+lived experience group. The work, welfare and mental health programme is one strand of the five-year ESRC Centre, which is a joint venture between the Department of Global Health & Social Medicine (GHSM) and the world-leading Institute of Psychiatry, Psychology & Neuroscience (IoPPN), both at King’s.

Departmentally, the post is based with the Department of Global Health & Social Medicine (GHSM). This is a unique interdisciplinary community that connects social scientists, biomedical researchers and clinicians, who explore the complex social determinants of health, illness and ageing in a global perspective. Founded in 2012, we are now ranked within the top 10 sociology departments in the UK. The Department is currently based in the fabulous surroundings of Bush House in central London.

About the role

The purpose of this role is to be the lead UK qualitative researcher on an ambitious, innovative €3m project ( WelfareExperiences ) comparing the experience of claiming benefits in five different countries: the UK, Norway, Estonia, Hungary and Spain

The project will be one of the first international comparisons of the experiences of individuals receiving public benefits, looking across Norway, Estonia, the United Kingdom, Spain, and Hungary. By ‘experiences’, we mean issues related to concepts such as justice, security, and dignity. We aim to both change the way people theorise public benefits systems in academic work, and to improve experiences in each of the five countries.

Crucially the project is coproduced (we are currently working with claimants across Europe to develop a conceptual framework for ‘experiences’, and will work throughout with people with lived experiences of claiming benefits).

Your role will be to take the lead on the UK qualitative fieldwork. You will be conducting innovative qualitative longitudinal research, which involves (i) an initial, usually in-person interview with a claimant; (ii) engagement from distance for 6mths, where claimants tell you about every interaction they have with the system; (iii) responsive follow-up phone interviews around key events. We expect that you will have capacity to do this with 15-18 diverse claimants.

You will also be responsible for analysing this qualitative data, as part of an international team that includes parallel qualitative researchers in each of the five countries. Comparative qualitative research is relatively uncommon, and this will be an excellent opportunity to learn how to do it well, and to work as part of a committed international team. You will also need to work in partnership with our coproduction partners, both our UK partners (APLE Collective, Inclusion Scotland, Poverty Alliance) and the broader international partners in each country; and in partnership with the quantitative work packages.

This is expected to be a full-time post (35 hours per week), but applications for undertaking this part-time are welcome (as long as this is at least 75% FTE). If undertaking this full-time, you will be offered a fixed term contract until  30/04/2027

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Essential criteria

• A PhD in sociology, social policy, anthropology, social psychology or related discipline.*
• Strong experience in qualitative research methods (including interviewing, analysis and research ethics).
• Excellent written and oral presentation skills.
• Experience in publishing academic journal articles.
• Good collaboration skills, including people with lived experience, across research methods, across disciplines, and across countries.
• Some knowledge of co-production methods within social sciences.
• The capacity to work independently, systematically, and purposefully.

Desirable criteria

• An excellent understanding of the British social security system.
• Experience of conducting qualitative longitudinal research.
• Experience of co-production methods in some form.

Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

Further information 

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. 

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers review your application, please take a look at our ‘ How we Recruit ’ pages.

Interviews are due to be held on w/o 14th October. 

This role does meet the requirements of the Home Office and therefore we are able to offer sponsorship for candidates who require the right to work in the UK.

Pakistani students’ perceptions about knowledge, use and impact of artificial intelligence (AI) on academic writing: a case study

• Published: 11 September 2024

Cite this article

• Shaista Rashid 1 ,
• Sadia Malik   ORCID: orcid.org/0000-0002-4989-2359 2 ,
• Faheem Abbas 2 &
• Javaria Ahmad Khan 3  

Integrating artificial intelligence (AI) in language pedagogy can help learn and develop many skills. In this context, this study explores Pakistani students' perceptions and trends regarding the knowledge, use, and impact of AI on their academic writing. The data was collected using a quantitative method, using a questionnaire through cluster sampling of four faculties and random sampling of 229 students from Bahuddin Zakariya University, Multan, Pakistan. Data is subjected to frequency analysis, Kruskal–Wallis hypothesis test, and chi-square association test using SPSS. The findings reveal that most students agree regarding the knowledge, use, and impact of AI on their academic writing. For the Kruskal–Wallis test, significant variations are seen in semesters and age groups for all three variables; however, only the knowledge variable shows significant variation across faculties. Moreover, chi-square test results indicate an association among components of knowledge, use, and impact of AI. The research suggests that academia should introduce AI as a pedagogical tool to improve students' comprehension, productivity, and writing quality. Furthermore, trends indicate that comprehensive policy formulation should be implemented to equip students of all faculties, semesters, and age groups to use technology equally.

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• Artificial Intelligence
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The data was collected through questionnaire using Google Forms; SPSS file can be provided if requested.

Ahmed, M., Siddiqui, M., & Usman, T. (2024). Impact of artificial intelligence-based writing assistant on the academic writing skills of university faculty in Pakistan. International Journal of Human and Society, 4 (1), 539–545.

Google Scholar  

Aladini, A. (2023). AI applications impact on improving EFL university academic writing skills and their logical thinking. Al-’ulūm Al-Tarbawiyyaẗ, 31 (2), 25–44. https://doi.org/10.21608/ssj.2023.320166

Article   Google Scholar  

Ali, Z. (2020). Artificial intelligence (AI): A review of its uses in language teaching and learning. IOP Conference Series: Materials Science and Engineering, 769 (1), 012043. https://doi.org/10.1088/1757-899x/769/1/012043

Almusharraf, N., & Bailey, D. (2021). A regression analysis approach to measuring the influence of student characteristics on language learning strategies. International Journal of Instruction, 14 (4), 463–482. https://doi.org/10.29333/iji.2021.14428a

Beiki, M. (2022). Review of writing-related theories. Cultural Arts Research and Development, 2 (1), 27–33. https://doi.org/10.55121/card.v2i1.20

Burkhard. (2022). Student perceptions of AI-powered writing tools: Towards individualized teaching strategies. 19th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2022) . https://doi.org/10.33965/celda2022_202207l010

Chaudhry, I. S., Sarwary, S. A. M., Refae, G. A. E., & Chabchoub, H. (2023). Time to revisit existing student’s performance evaluation approach in higher education sector in a new era of Chatgpt — a case study. Cogent Education, 10 (1), 2210461. https://doi.org/10.1080/2331186x.2023.2210461

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8 , 75264–75278. https://doi.org/10.1109/access.2020.2988510

Cunningham, U., Rashid, S., & Van Le, T. (2019). The effect of learner training on the use of digital tools to support English writing skills. Asian EFL Journal , 21 , 27–49. http://uu.diva-portal.org/smash/record.jsf?pid=diva2:1300583

Dhara, S., Chatterjee, S., Chaudhuri, R., Goswami, A., & Ghosh, S. K. (2022). Artificial intelligence in assessment of students’ performance. In CRC Press eBooks (pp. 153–167). https://doi.org/10.1201/9781003184157-8

Dizon, G., & Gayed, J. M. (2021). Examining the impact of Grammarly on the quality of mobile L2 writing. The JALT CALL Journal, 17 (2), 74–92. https://doi.org/10.29140/jaltcall.v17n2.336

Feise, R. J. (2002). Do multiple outcome measures require p-value adjustment? BMC Medical Research Methodology, 2 (1), 8. https://doi.org/10.1186/1471-2288-2-8

Fitria, T. N. (2021). Grammarly as AI-powered English writing assistant: students’ alternative for writing English. Metathesis, 5 (1), 65–78. https://doi.org/10.31002/metathesis.v5i1.3519

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34 (10), 906–911. https://doi.org/10.1037/0003-066x.34.10.906

Ghafar, Z. N., Salh, H. F., Abdulrahim, M. A., Farxha, S. S., Arf, S. F., & Rahim, R. I. (2023). The role of artificial intelligence technology on English language learning: a literature review. Canadian Journal of Language and Literature Studies, 3 (2), 17–31. https://doi.org/10.53103/cjlls.v3i2.87

Ginting, P., Batubara, H. M., & Hasnah, Y. (2023). Artificial intelligence powered writing tools as adaptable aids for academic writing: Insight from EFL college learners in writing final project. Zenodo, 6 (10), 4640–4650. https://doi.org/10.5281/zenodo.8407887

Grájeda, A., Burgos, J., Olivera, P. C., & Sanjinés, A. (2023). Assessing student-perceived impact of using artificial intelligence tools: Construction of a synthetic index of application in higher education. Cogent Education, 11 (1), 2287917. https://doi.org/10.1080/2331186x.2023.2287917

Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15 (4), ep464. https://doi.org/10.30935/cedtech/13605

Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. Biostatistics, 4 (1), 60–67. https://doi.org/10.4103/ijam.ijam_7_18

Keleş, P. U., & Aydın, S. (2021). University students’ perceptions about artificial intelligence. Shanlax International Journal of Education, 9 , 212–220. https://doi.org/10.34293/education.v9is1-may.4014

Knowles, E. (2005). The Oxford dictionary of phrase and fable. In Oxford University Press eBooks . https://doi.org/10.1093/acref/9780198609810.001.0001

Kothari, C. R. (2004). Research methodology: Methods and techniques . New Age International.

LeCompte, M. D., & Schensul, J. J. (2015). Ethics in ethnography: A mixed methods approach . AltaMira Press.

Lei, H. (2022). High school students’ foreign language vocabulary acquisition in the era of artificial intelligence. Advances in Social Science, Education and Humanities Research, 637 , 669–662. https://doi.org/10.2991/assehr.k.220131.121

Li, A. W. (2023). Using Perceptive to support AI-based online writing assessment across the disciplines. Assessing Writing, 57 , 100746. https://doi.org/10.1016/j.asw.2023.100746

Mahmud, F. A. (2023). Investigating EFL students’ writing skills through artificial intelligence: Wordtune application as a tool. Journal of Language Teaching and Research, 14 (5), 1395–1404. https://doi.org/10.17507/jltr.1405.28

Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki, M. (2023). Exploring artificial intelligence in academic essay: Higher education student’s perspective. International Journal of Educational Research Open, 5 , 100296. https://doi.org/10.1016/j.ijedro.2023.100296

Malik, S., Sadiq, U., & Khan, J. A. (2021). Belief, practices, and challenges of Pakistani primary grade government school teachers: Variable analysis affecting pronunciation and phonics teaching. Humanities & Social Sciences Reviews, 9 (1), 206–217. https://doi.org/10.18510/hssr.2021.9122

Marzuki, Widiati, U., Rusdin, D., Darwin, D., & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10 (2), 1–17. https://doi.org/10.1080/2331186x.2023.2236469

Mayo, D. G., & Cox, D. R. (2006). Frequentist statistics as a theory of inductive inference. In Institute of Mathematical Statistics eBooks (pp. 77–97). https://doi.org/10.1214/074921706000000400

McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23 (2), 143–149. https://doi.org/10.11613/bm.2013.018

Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of artificial intelligence powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7 (5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014

Ostertagová, E., Ostertag, O., & Kováč, J. (2014). Methodology and application of the Kruskal-Wallis test. Applied Mechanics and Materials, 611 , 115–120. https://doi.org/10.4028/www.scientific.net/amm.611.115

Pacheco-Mendoza, S., Guevara, C., Samaniego, J., & Fernandez, J. (2023). Artificial intelligence in higher education: A predictive model for academic performance. Education Sciences, 13 (10), 990. https://doi.org/10.3390/educsci13100990

Park, J. (2019). An AI-based English grammar checker vs. human raters in evaluating EFL learners’ writing. Multimedia-Assisted Language Learning , 22 (1), 112–131. https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002449524

Rashid, S., Cunningham, U., Watson, K., & Howard, J. (2018). Revisiting the digital divide(s): Technology-enhanced English language practices at a university in Pakistan. Australian Journal of Applied Linguistics, 1 (2), 64–87. https://doi.org/10.29140/ajal.v1n2.7

Ribeiro, R. (2022). AI in English Language Learning | Cambridge English . World of Better Learning | Cambridge University Press. https://www.cambridge.org/elt/blog/2020/03/09/artificial-intelligence-english-language-learning/

Rothman, K. J. (1990). No adjustments are needed for multiple comparisons. Epidemiology, 1 (1), 43–46. https://doi.org/10.1097/00001648-199001000-00010

Rusmiyanto, R., Huriati, N., Fitriani, N., Tyas, N. K., Rofi’i, A., & Sari, M. N. (2023). The role of artificial intelligence (AI) in developing English language learner’s communication skills. Journal on Education, 6 (1), 750–757. https://doi.org/10.31004/joe.v6i1.2990

Saini, N. (2023). Research paper on artificial intelligence and its applications. International Journal for Research Trends and Innovation, 8 (4), 356–360.

Sharifi, A., Ahmadi, M., & Ala, A. (2021). The impact of artificial intelligence and digital style on industry and energy post-COVID-19 pandemic. Environmental Science and Pollution Research, 28 (34), 46964–46984. https://doi.org/10.1007/s11356-021-15292-5

Slimi, Z. (2023). The impact of artificial intelligence on higher education: An empirical study. European Journal of Educational Sciences . https://doi.org/10.19044/ejes.v10no1a17

Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. Advances in Social Science, Education and Humanities Research, 624 , 52–57. https://doi.org/10.2991/assehr.k.220201.009

Toncic, J. (2020). Teachers, AI grammar checkers, and the newest literacies: Emending writing pedagogy and assessment. Digital Culture & Education, 12 (1), 26–51.

Turner, E. (2021). Causes for leaving jobs: A comparative analysis. 2nd International Conference on Research in Management . https://doi.org/10.33422/2nd.icrmanagement.2021.02.43

Utami, S. P. T., Andayani, A., Winarni, R., & Sumarwati, S. (2023). Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive? Contemporary Educational Technology, 15 (4), ep450. https://doi.org/10.30935/cedtech/13419

Verma, M. (2018). Artificial intelligence and its scope in different areas with special reference to the field of education. International Journal of Advanced Educational Research , 3 (1), 5–10. http://files.eric.ed.gov/fulltext/ED604401.pdf

Victorivna, K. L., Oleksandrovych, V. A., Oleksandrivna, K. I., & Oleksandrivna, K. N. (2022). Artificial intelligence in language learning: What are we afraid of? Arab World English Journal, 8 , 262–273. https://doi.org/10.24093/awej/call8.18

Wang, T., Lund, B., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13 (11), 6716. https://doi.org/10.3390/app13116716

Zhao, X. (2022). Leveraging artificial intelligence (AI) technology for English writing: Introducing Wordtune as a digital writing assistant for EFL writers. RELC Journal, 54 (3), 890–894. https://doi.org/10.1177/00336882221094089

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The authors would like to thank Prince Sultan University for its support.

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Shaista Rashid

Department of English, Bahauddin Zakariya University, Multan, Pakistan

Sadia Malik & Faheem Abbas

Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan

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Rashid, S., Malik, S., Abbas, F. et al. Pakistani students’ perceptions about knowledge, use and impact of artificial intelligence (AI) on academic writing: a case study. J. Comput. Educ. (2024). https://doi.org/10.1007/s40692-024-00338-7

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Received : 15 May 2024

Revised : 08 August 2024

Accepted : 14 August 2024

Published : 11 September 2024

DOI : https://doi.org/10.1007/s40692-024-00338-7

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