research presentation in research methodology

Princeton Correspondents on Undergraduate Research

How to Make a Successful Research Presentation

Turning a research paper into a visual presentation is difficult; there are pitfalls, and navigating the path to a brief, informative presentation takes time and practice. As a TA for  GEO/WRI 201: Methods in Data Analysis & Scientific Writing this past fall, I saw how this process works from an instructor’s standpoint. I’ve presented my own research before, but helping others present theirs taught me a bit more about the process. Here are some tips I learned that may help you with your next research presentation:

More is more

In general, your presentation will always benefit from more practice, more feedback, and more revision. By practicing in front of friends, you can get comfortable with presenting your work while receiving feedback. It is hard to know how to revise your presentation if you never practice. If you are presenting to a general audience, getting feedback from someone outside of your discipline is crucial. Terms and ideas that seem intuitive to you may be completely foreign to someone else, and your well-crafted presentation could fall flat.

Less is more

Limit the scope of your presentation, the number of slides, and the text on each slide. In my experience, text works well for organizing slides, orienting the audience to key terms, and annotating important figures–not for explaining complex ideas. Having fewer slides is usually better as well. In general, about one slide per minute of presentation is an appropriate budget. Too many slides is usually a sign that your topic is too broad.

Limit the scope of your presentation

Don’t present your paper. Presentations are usually around 10 min long. You will not have time to explain all of the research you did in a semester (or a year!) in such a short span of time. Instead, focus on the highlight(s). Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

You will not have time to explain all of the research you did. Instead, focus on the highlights. Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

Craft a compelling research narrative

After identifying the focused research question, walk your audience through your research as if it were a story. Presentations with strong narrative arcs are clear, captivating, and compelling.

• Introduction (exposition — rising action)

Orient the audience and draw them in by demonstrating the relevance and importance of your research story with strong global motive. Provide them with the necessary vocabulary and background knowledge to understand the plot of your story. Introduce the key studies (characters) relevant in your story and build tension and conflict with scholarly and data motive. By the end of your introduction, your audience should clearly understand your research question and be dying to know how you resolve the tension built through motive.

• Methods (rising action)

The methods section should transition smoothly and logically from the introduction. Beware of presenting your methods in a boring, arc-killing, ‘this is what I did.’ Focus on the details that set your story apart from the stories other people have already told. Keep the audience interested by clearly motivating your decisions based on your original research question or the tension built in your introduction.

• Results (climax)

Less is usually more here. Only present results which are clearly related to the focused research question you are presenting. Make sure you explain the results clearly so that your audience understands what your research found. This is the peak of tension in your narrative arc, so don’t undercut it by quickly clicking through to your discussion.

• Discussion (falling action)

By now your audience should be dying for a satisfying resolution. Here is where you contextualize your results and begin resolving the tension between past research. Be thorough. If you have too many conflicts left unresolved, or you don’t have enough time to present all of the resolutions, you probably need to further narrow the scope of your presentation.

• Conclusion (denouement)

Return back to your initial research question and motive, resolving any final conflicts and tying up loose ends. Leave the audience with a clear resolution of your focus research question, and use unresolved tension to set up potential sequels (i.e. further research).

Use your medium to enhance the narrative

Visual presentations should be dominated by clear, intentional graphics. Subtle animation in key moments (usually during the results or discussion) can add drama to the narrative arc and make conflict resolutions more satisfying. You are narrating a story written in images, videos, cartoons, and graphs. While your paper is mostly text, with graphics to highlight crucial points, your slides should be the opposite. Adapting to the new medium may require you to create or acquire far more graphics than you included in your paper, but it is necessary to create an engaging presentation.

The most important thing you can do for your presentation is to practice and revise. Bother your friends, your roommates, TAs–anybody who will sit down and listen to your work. Beyond that, think about presentations you have found compelling and try to incorporate some of those elements into your own. Remember you want your work to be comprehensible; you aren’t creating experts in 10 minutes. Above all, try to stay passionate about what you did and why. You put the time in, so show your audience that it’s worth it.

For more insight into research presentations, check out these past PCUR posts written by Emma and Ellie .

— Alec Getraer, Natural Sciences Correspondent

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Research presentation: A comprehensive guide

Learn how to choose a topic, conduct research, create visuals, and deliver your presentation with confidence.

Raja Bothra

Building presentations

Hey there, fellow knowledge seekers!

Today, we're diving deep into the world of research presentations.

Whether you're a student gearing up for your undergraduate research showcase or a professional preparing for a crucial job interview, mastering the art of delivering an effective research presentation is a valuable skill.

What is a research presentation?

A research presentation is a means to communicate your findings, insights, and discoveries to an audience, be it in a classroom, at a conference, or in a boardroom. It's your opportunity to showcase your expertise and share the results of your hard work.

Purpose of a research presentation

Before we dive into the intricacies of creating a stellar research presentation, let's explore the underlying reasons that make these presentations indispensable. The purpose of a research presentation is not merely to present data but to serve as a powerful tool for communication and engagement.

Sharing knowledge

At its core, a research presentation is a conduit for sharing knowledge, disseminating your research findings, and illuminating the uncharted realms of your work. It's about taking the complex and making it comprehensible, even captivating.

Academic evaluation

In the realm of academia, research presentations play a pivotal role in the evaluation process. They are your platform to defend a dissertation or thesis with vigor and confidence. Moreover, they are your plea for research funding, where your passion and precision could tip the scales in your favor.

Professional communication

Beyond the academic sphere, research presentations find a home in the corporate world, such as job interview s. In these scenarios, your presentation serves as a bridge, connecting your ideas with potential employers. It's an opportunity to demonstrate not just your research skills but also your ability to communicate them effectively.

The bigger picture

Your research presentation is more than just slides and data; it's an embodiment of your dedication and expertise. It's a tool for persuading, inspiring, and inciting action. It's a gateway to engage, educate, and advocate, whether in academic circles, professional settings, or public platforms.

A universal canvas

Regardless of the context, the core objectives of a research presentation remain constant:

• Dissemination of information : Sharing insights and discoveries for the collective advancement of knowledge.
• Engagement : Creating a presentation that captivates and effectively conveys complex ideas.
• Feedback and discussion : Welcoming questions, feedback, and discussions that refine and expand your research.
• Peer review : Serving as part of the peer-review process in academia, where experts evaluate the quality and validity of your work.
• Educational : Actively contributing to education by disseminating valuable information about a particular topic or research area.
• Persuasion : In cases like grant applications, presentations aim to persuade the audience to support or fund the research project.
• Networking : An opportunity to connect with peers, professionals, and stakeholders interested in your field.
• Professional development : A chance to enhance your communication skills and professional development.
• Public awareness : Raising public awareness about significant issues or findings that have a direct impact on society.

Your research presentation is not merely a sequence of slides but a powerful tool for communication and connection. Whether you're in the academic realm, the corporate world, or the public sphere, your ability to convey your research clearly and engagingly is pivotal to your success. Remember, you're not just presenting data; you're sharing knowledge, engaging your audience, and advocating for a cause.

Different types of research presentation

Research presentations are as diverse as the research itself, and the choice of presentation format is crucial. It depends on factors like the audience, the research's nature, and the specific goals of the presentation. Let's explore the myriad forms research presentations can take:

1. Oral presentations

• Conference presentations : These formal presentations are typically held at academic conferences, where researchers present their findings to a specialized audience. It's a platform for in-depth discussions and peer feedback.
• Seminar presentations : Often conducted at universities or research institutions, these presentations delve deep into research topics, encouraging detailed discussions and expert insights.
• Lecture series : A series of lectures focused on a particular research topic, usually organized by universities. These sessions offer a comprehensive exploration of a subject.

2. Poster presentations

• Conference posters : Visual presentations of research findings displayed on large posters, commonly used at academic conferences. They provide a snapshot of research, making complex data more accessible.
• Academic fairs : Frequently used to showcase research projects at the undergraduate or high school level. These exhibitions make research engaging for students.

3. Online/webinar presentations

• Webinars : Online presentations where researchers share their work with a remote audience. These presentations often include interactive elements, like Q&A sessions.
• Online workshops : Hands-on, interactive presentations that teach research methodologies or specific skills. Ideal for engaging the audience in a virtual setting.

4. Thesis or dissertation defense: Researchers defend their doctoral or master's theses or dissertations before a committee. It involves explaining their research in-depth and responding to questions.

5. Ignite or pecha kucha presentations : These are fast-paced presentations where presenters use a fixed number of slides and limited time per slide to convey their research succinctly. It's a dynamic format that encourages clarity and conciseness.

6. Panel discussions: Researchers participate in a discussion alongside other experts, sharing their perspectives on a specific topic

or research area. These discussions provide a well-rounded view of the subject.

7. TED talks or public lectures: Researchers present their work to a general audience in an engaging and accessible manner. The focus is on making complex ideas understandable and captivating.

8. Corporate research presentations: Researchers may present their findings to colleagues, executives, or stakeholders in a business or industry setting. These presentations often have practical applications and implications for the company.

9. Pitch presentations: Researchers may need to pitch their research project to potential funders , collaborators, or sponsors. This format requires the ability to convey the research's value and potential impact effectively.

10. Media interviews: Researchers can present their work through interviews with journalists, on television, radio, podcasts, or in written articles. The challenge here is to convey complex ideas to a broad audience.

11. Educational workshops: These presentations occur in an educational context, where researchers teach others about a particular subject or research method. It's a way to transfer knowledge and skills effectively.

12. Research reports: These formal written reports communicate research findings and are presented in a document format. They are often used for thorough documentation and publication.

13. Interactive exhibits: Researchers create interactive exhibits at science centers or museums to engage the public with their research. It's about making research accessible and engaging to a wide audience.

14. Government or policy briefings: Researchers may present their work to policymakers, helping to inform decision-making. These presentations have a direct impact on policy and require clarity and relevance.

15. Peer review: In the academic realm, researchers present their work to a group of peers for constructive feedback before formal publication. It's an essential step in ensuring the quality and validity of research.

In the world of research presentations, adaptability is key. Researchers often need to tailor their content and style to suit the context and meet the expectations of their audience. Remember, the choice of presentation type should align with your goals and the nature of your research. Each format has its unique strengths and is a valuable tool for sharing knowledge, engaging your audience, and achieving your research objectives.

What should a research presentation include?

A research presentation is not just a random assortment of slides; it's a meticulously crafted narrative that informs, engages, and inspires. Regardless of the type of presentation you opt for, there are some indispensable components to consider:

Introduction: Your presentation journey begins with the introduction—a compelling opening act. This is where you introduce your topic, explain its significance, and clearly state your research question or hypothesis. Think of it as setting the stage for the story you're about to tell.

Background: The background section is your opportunity to equip your audience with the necessary context to grasp the intricacies of your research. This may encompass discussions on relevant theories, prior research, and fundamental concepts that lay the foundation for your work. It's about ensuring your audience starts on the same page.

Methodology: This section provides an insight into the "how" of your research. Share the methods you employed in conducting your research, such as data collection techniques, sampling procedures, and your chosen methods of analysis. It's a backstage pass to the mechanics of your study.

Results: With the methodology unveiled, it's time to present the star of the show—your findings. This section is where you shine a spotlight on your results, delivering them in a clear and concise manner. Visual aids, such as tables, graphs, and other visuals, can be invaluable allies in communicating your results effectively.

Discussion: As you transition from presenting results, you enter the realm of interpretation and discussion. Here, you dissect your findings, analyzing their implications and discussing their real-world significance. Don't forget to address the limitations of your study and suggest future research directions.

Conclusion: In the grand finale of your presentation, it's time to bring the pieces together. Summarize your main points, reiterate the importance of your research, and leave your audience with a lasting impression. A compelling conclusion can be the key to a memorable presentation.

Q&A session: Your presentation isn't just a monologue; it's a dialogue with your audience. Provide an opportunity for engagement and clarification through a Q&A session. Allow your audience to ask questions, offer feedback, and explore the nuances of your research.

Contact information: Consider including a slide with your contact information. This way, curious audience members can reach out to you with questions, feedback, or collaboration opportunities. It's a subtle but essential way to maintain the conversation beyond the presentation.

It's important to note that the specific content and length of your research presentation may vary based on your audience and time constraints. For instance, if your audience is general and diverse, dedicating more time to background and discussion can enhance comprehension. On the other hand, when presenting to experts in your field, you can streamline these sections and focus on the intricate details of your methodology and results.

How to structure an effective research presentation

Crafting an effective research presentation is akin to weaving a compelling narrative. It's about captivating your audience while imparting knowledge. Here's a step-by-step guide on how to structure a presentation that leaves a lasting impression:

Title slide : Your presentation begins with the title slide, your first impression. Include the title of your presentation, your name, affiliation, and the date. This slide sets the stage for your audience, providing essential information about what they are about to learn.

Introduction : The introduction is your opportunity to grab your audience's attention and set the stage for your presentation. Start with a hook, like a thought-provoking question, a surprising fact, or even a touch of humor if it fits naturally. Additionally, in the introduction, provide background and context for your research, clearly state your research question or objectives, and explain why your research is important or relevant.

Literature review : In this section, briefly summarize key research in your field related to your topic. Highlight gaps or areas where your research contributes. If relevant, mention theories or models that underpin your work, demonstrating your understanding of the existing body of knowledge.

Methodology : Explain the nuts and bolts of your research methods. Share the methods you used, whether they were surveys, experiments, case studies, or any other approach. Include details of data collection procedures, sample size, and data analysis techniques. If ethical considerations played a role, mention them here.

Data presentation : This is where you unveil your research findings using visuals like charts, graphs, and tables. Make sure to explain the significance of each visual and its relation to your research question, using clear and concise labels for data points. Highlight key results or trends that are critical to your narrative, making it easier for your audience to grasp the key takeaways.

Discussion : Interpret the data and discuss its implications. This section should explain how your findings relate to your research question or objectives. Address any limitations or potential sources of bias and offer insights into the broader implications and practical applications of your research. It's a critical part where you demonstrate your analytical skills and the value of your work.

Conclusion : In the grand finale of your presentation, summarize the main points and reiterate the significance of your research and its contribution to the field. Suggest potential areas for future research, inviting your audience to continue the journey and emphasizing the continuity of the research.

Q&A session : Now, it's time to engage your audience. Invite questions and be prepared to provide detailed answers and clarify any doubts. This interaction adds depth to your presentation and ensures your audience's comprehension.

References : Include a list of all the sources you cited during your presentation. This shows your commitment to sound research practices and allows your audience to delve deeper into the literature if they wish.

Acknowledgments (if necessary) : If your research received support from funding sources, collaborators, or institutions, acknowledge them at this point. Gratitude goes a long way in the academic community, and it's essential to recognize those who contributed to your work.

Additional Tips:

• Keep your presentation concise and focused to avoid overwhelming your audience with an excess of information.
• Use visual aids effectively, but remember, less is often more. Avoid overcrowding slides with excessive text or data.
• Practice your presentation multiple times to ensure a smooth delivery and stay within the allotted time.
• Engage with your audience throughout. Ask questions, encourage discussion, and make eye contact to maintain their interest.
• Speak clearly and confidently, avoiding jargon or overly technical language whenever possible.
• Adapt your style and level of detail to your audience's background and interests. The key to an effective research presentation lies in clear, organized, and engaging communication, ensuring your message not only informs but also captivates your audience.

Do’s and Don'ts of a Research Presentation

Delivering a successful research presentation is crucial for conveying your findings and insights effectively. Here are some do's and don'ts to keep in mind:

• Know your audience: Tailor your presentation to your audience's background and interests. Consider whether they are experts in the field or have limited prior knowledge.
• Structure your presentation: Organize your presentation with a clear structure. Start with an introduction, outline your methodology, present your results, and conclude with key takeaways and implications.
• Practice: Rehearse your presentation multiple times to ensure a smooth and confident delivery. Practice also helps you manage your time effectively.
• Use visuals: Incorporate visuals like graphs, charts, and images to make complex data more accessible. Visual aids should be clear, concise, and relevant.
• Engage your audience: Use stories, anecdotes, or questions to capture your audience's attention and keep them engaged. Encourage questions and discussions.
• Speak clearly and slowly: Enunciate your words clearly and avoid speaking too fast. This makes it easier for your audience to follow your presentation.
• Keep slides simple: Limit the amount of information on each slide. Use bullet points, not paragraphs. Avoid excessive animations and transitions.
• Cite sources: Acknowledge and cite the work of others when presenting their ideas or research. This shows academic integrity.
• Anticipate questions: Be prepared to answer questions about your research. It demonstrates your expertise and thorough understanding of the topic.
• Time management: Stick to your allotted time. Respect your audience's time by not going over the time limit.

Don'ts:

• Don't overload slides: Avoid cluttered or text-heavy slides. They can overwhelm your audience and distract from your key points.
• Don't read directly from slides: Your slides should support your presentation, not replace it. Avoid reading verbatim from your slides.
• Don't rush: Speaking too quickly can make it hard for the audience to follow your presentation. Speak at a measured pace.
• Don't assume prior knowledge: Don't assume that your audience is familiar with your topic. Provide sufficient background information to ensure understanding.
• Don't wing it: Winging a research presentation can lead to disorganization and confusion. Preparation is key to a successful presentation.
• Don't get defensive: If someone challenges your research, remain composed and open to constructive criticism. Avoid becoming defensive or confrontational.
• Don't neglect visual design: Poorly designed visuals can detract from your presentation. Pay attention to design principles for your slides.
• Don't oversimplify or overcomplicate: Strike a balance between simplifying complex ideas and providing enough detail for your audience to grasp the topic.
• Don't use jargon unnecessarily: Avoid overusing technical jargon or acronyms. If you must use them, explain them for the benefit of non-experts.
• Don't monopolize the Q&A: Give all audience members an opportunity to ask questions. Don't allow one or two people to dominate the Q&A session.

Summarizing key takeaways

• Purpose of research presentation : Research presentations are essential for sharing knowledge, academic evaluation, professional communication, and more.
• Types of research presentations : They come in various formats, like oral, poster, webinars, and more, and should match your goals.
• Content of a research presentation : Typically includes an introduction, background, methodology, results, discussion, conclusion, Q&A, references, and acknowledgments (if needed).
• Structuring an effective presentation : Organize your presentation logically, use visuals, practice, engage your audience, and speak clearly.
• Do's : Do tailor to your audience, structure well, and use visuals.
• Don'ts : Don't overload slides, rush, assume prior knowledge, or neglect design.

FAQ's about research Presentation

1. how can i create a research presentation that stands out.

When creating your research presentation, consider using prezent, powerpoint presentation or other presentation software to help you prepare a visually appealing presentation. Utilizing presentation templates can provide you with a professional and organized look. Try to include appropriate graphics that enhance your content and help you avoid using too much text. Remember that the purpose of your presentation is to present your research in a way that your audience can follow, so use different fonts, but make sure to keep font size and style consistent for headings and content.

2. How many slides should I have in my research presentation?

A rule of thumb for creating a research presentation is to aim for approximately one to five minutes per slide. For a 15-minute presentation, you might have around 15 to 75 slides. However, the number of slides can vary depending on your content. Avoid using too much detail, and keep it simple to maintain your audience's engagement.

3. Should I use a handout as part of my research presentation?

You don't need to provide a handout as part of your research presentation, but it can be a helpful addition. Including a handout can help your audience take notes and refer back to important things you've discussed. Be sure to include your name and contact details on the handout so that your audience knows how to reach you.

4. What should I do when giving an in-person research presentation?

When giving an in-person presentation, it's essential to use a projector and present your research paper slowly and clearly. Make sure the audience can see the content from a few feet away, and use sans-serif fonts, such as Arial, for better contrast and readability. Remember not to read word for word from your presentation slides; instead, use them as a guide. Also, be prepared to answer questions as you go and engage with your audience.

5. How can I make my research presentation suitable for a symposium in the social sciences, for example?

To make your research presentation suitable for a symposium in the social sciences or any specific field, first, decide whether your audience needs a more technical or general overview of your work. Adapt the content and the appropriate graphics accordingly. Use a table of contents to help guide your presentation, and present your research in a manner that aligns with the expectations of the audience in your field. Make sure your presentation design and content are tailored to your audience and the nature of the symposium.

Create your research presentation with prezent

Creating a compelling research presentation is an essential skill for academics and professionals alike. Prezent, a powerful communication success platform, offers an innovative solution for crafting engaging and brand-compliant research presentations. With Prezent, you can save valuable time and streamline your presentation creation process. The platform's AI presentation tool combines audience preferences, personalized fingerprints, and a presentation builder to help you deliver impactful research findings.

One of the standout features of Prezent is its emphasis on brand-approved design. The platform allows you to maintain consistency with your corporate brand and marketing team's guidelines. You can access over 35,000 slides in your company's approved design, ensuring that your research presentation is always on-brand.

To further enhance your research presentation experience, Prezent offers professional services such as overnight services and dedicated presentation specialists. These services can help you refine your content, convert meeting notes into polished presentations, and brainstorm design ideas. With a strong commitment to enterprise-grade security, Prezent ensures the safety of your data through independent third-party assurance.

Ready to supercharge your research presentations? Try our free trial or book a demo today with Prezent!

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• Resource Library
• Research Methods
• VIVA Grant Recipients
• Vgr-social-work-research

Education Standards

Radford university.

Learning Domain: Social Work

Standard: Basic Research Methodology

Lesson 10: Sampling in Qualitative Research

Lesson 11: qualitative measurement & rigor, lesson 12: qualitative design & data gathering, lesson 1: introduction to research, lesson 2: getting started with your research project, lesson 3: critical information literacy, lesson 4: paradigm, theory, and causality, lesson 5: research questions, lesson 6: ethics, lesson 7: measurement in quantitative research, lesson 8: sampling in quantitative research, lesson 9: quantitative research designs, powerpoint slides: sowk 621.01: research i: basic research methodology.

The twelve lessons for SOWK 621.01: Research I: Basic Research Methodology as previously taught by Dr. Matthew DeCarlo at Radford University. Dr. DeCarlo and his team developed a complete package of materials that includes a textbook, ancillary materials, and a student workbook as part of a VIVA Open Course Grant.

The PowerPoint slides associated with the twelve lessons of the course, SOWK 621.01: Research I: Basic Research Methodology, as previously taught by Dr. Matthew DeCarlo at Radford University. 

Version History

Guide to Research Methods

About the guide

This guide will

• Introduce you to a range of research methods
• Help you think about the value and limitations of different research methods
• Identify when to use alternative research methods

You should use the guide

• After or while you establish your research questions (See the Guide to Research Questions )
• When you are completing your Research Design Framework
• When you are thinking about who you want to talk to and why (See the Guide to Sampling )

You should print or read this guide

These slides are set up so that they can be printed back to back (two/four sided) to give:

• A short hand overview about when to use each method
• A summary of the method, what it’s good for and limitations (linking to other slides in this pack)

Choosing research methods

When you need to think about which method is best in theory and in practice

Choosing Research Methods

Providing a rationale for the methods you choose to use and how you employ them.

• What are your research goals? If you are looking to influence experts or policy makers, quantitative approaches will add weight to your findings. If you are looking to understand problems, inform innovation or develop a prototype, look at qualitative methods or user research
• What are your research questions? If they begin with ‘explore’ or ‘what’ look at qualitative methods (talking). If they begin with ‘identify’ or ‘why’ look at quantitative (see guide to research questions )
• What research traditions exist? You may choose to follow or challenge them. Think about whether you want your research to be noted for its quality and robustness or creative approach and unique insights
• What are your/your teams skills? You may not be an expert in the most appropriate method so consider asking for other team members or commissioning out research
• Who are you research participants? Think about your relationship to participants (especially if you are doing qualitative research) and how they will respond to you and the method. Consider if they are often consulted or surveyed and whether if could be helpful or unhelpful to stick with their comfort zone or not.

Using online tools

When you need to decide which tools to use for research

What to think about when choosing a tool to conduct research

• What’s the cost to the research quality ? Most tools are ‘freemium’, use a basic version for free. BUT these are designed to annoy you to pay to do good research. Consider privacy settings, data access, storage and value for money. Survey tools will have no option to filter participants (if yes/no answer this q), a 10Q limit, no branding. Mapping/visualisations are published online and open source tools aren’t always user friendly
• Start with user needs, understand the context and think about everyone. Consider what technology they have, how they will access the tool and what they need to do this. Do they have internet, data, time?
• Be creative: Online tools may not be designed for research, but Google Forms, Trello, Workflowy and Slack are all valuable collaboration tools. Twitter and Facebook polls may increase participation in research. However, think about what they are missing, what they can’t do and pilot your analysis approach first
• See what’s out there: This online sheet of Applied Social Research Guides and Resources includes a list of online tools for research and evaluation to test. Those widely used for your research method or sector are likely to be the best starting point. Some tools allow you to do research (see Tags for Twitter data capture), analyse it or present it in new ways (see Raw Graph s for data visualisation)

Contents: Methods summary

• Structured Interviews : When you want to gain a broad range of perspectives about specific questions
• Semi-Structured Interviews : When you want to gain in-depth insights about broad questions
• Unstructured Interviews : When you want to gain in-depth insights about a complex research topics
• Telephone Interviews : A tool for when you want to interview people quickly and easily
• Guerilla Interviews : When you want to carry out user research or explore general perspectives quickly
• Contextual Interviews : When you want to understand actions and particular experiences indepth and in context
• Focus Groups : When you want to understand shared experiences and different perspectives
• Participant Observation : When you want to ‘learn by doing’ or observe social interactions and behaviour
• Ethnography : When you want to experience social practices, interactions and behaviour with minimal influence
• Surveys: When you want to generate numerical data about the scale of people’s opinions and feelings
• Mixed Methods: When one method cannot fully answer your main research question
• User Research : When you want to learn about the behaviours and motivations of your target audience
• Service Design Research : When you want to design a service to meet people’s needs.
• Content Analysis : When you want to understand public discourse through secondary or online data
• Workshops : When you want to engage stakeholders in research, generate ideas or codesign solutions
• Usability tests : When you want to test prototypes or learn about problems with an existing service

Find out more

How to do good…

• Applied social research: A curated online sheet of Applied Social Research Guides and Resources
• Surveys : Guide to creating questions here and here , build on existing data/questions , analysis guide
• Interviews : A nice overview here which includes how to structure an interview
• User research : The GDS for intro guides and DisAmbiguity blog
• Service design: This is Service Design Doing has great tools and formats for workshops

Inspiration for emerging research methods and creative formats for research

• Ethnography and mixed methods presented well: Ikea At Home Report
• User mapping techniques as a social research method NPC Report
• User Research to understand domestic abuse experiences and the potential for technology Tech Vs Abuse
• Using Twitter data for social research Demos
• Data visualisation as a tool for research communication - Nesta data visualisation and Women’s Aid Map
• Data journalism and data storytelling - Guardian reading the riots
• An online games to shift perspective on a social problem - Financial Times Uber Story
• Content analysis to map trends - Nesta analysed creative skills in job adverts
• Issue mapping online - networks of websites and people on Twitter - Warwick University Issue Mapping

Structured Interviews

When you want to gain a broad range of perspectives about specific questions

Also consider

Semi-structured interviews

A conversation with a set structure (a script of fixed questions) and specific purpose. Can be a method to undertake a survey or called a ‘directed’ interview.

• Asking standardised questions across many participants makes data easier to analyse and compare
• Giving participants a clear guide about what you want to learn from them
• Topics that would be too complex to capture in a questionnaire tick box/short response
• Respondents with limited time, who want to consider responses in advance or do not want to write
• The quality of the interview is less dependent on the interviewer and their rapport with the interviewee

Limitations (and how to avoid or what to consider instead)

• The structure prevents participants from bringing in other ideas (consider semi-structured interviews )
• Whilst quicker to conduct and analyse than semi-structured interviews, they are still resource intensive and only possible to do with limited numbers of people (consider questionnaires online - see surveys )

Semi-Structured Interviews

When you want to gain in-depth insights about broad questions

Participant Observation

User research

Focus groups

Semi-Structured interviews

Conversation with a structure (set of open questions) and clear purpose. Also called directed interviews.

• Exploring a range of perspectives on research questions, engaging experts and getting buy-in to research
• Gaining in-depth insights about how people feel or interpret complex issues
• Topics which are sensitive, difficult to express in writing or to articulate views about in a survey
• Allowing participants to respond in their words, framing what they see as important

Limitations

• Quality can depend on interviewer skills and put people on the spot (consider setting topics in advance)
• The set-up affects the quality of engagement and discussion (consider location, relationship with the interviewee and whether you should do a face to face or Telephone/Online interview )
• Time consuming to do, analyse and compare (consider Structured Interviews or Focus groups )
• Can lack validity as evidence (consider Surveys )
• Explore what people say, think and remember, not what they actually do (consider Participant Observation contextual interviews or User Research ) or shared perspectives (consider Focus groups )
• Easy to provide too much structure and prevent open exploration of a topic (see unstructured interviews )

Unstructured Interviews

When you want to gain in-depth insights about a complex research topics

Contextual interviews

Unstructured interviews

A loosely structured open conversation guided by research topics (also called non-directed interviews)

• Very exploratory research and broad research questions
• Letting the participant guide the interview according to their priorities and views
• In-depth and broad discussion about a person's expertise, experiences and opinions
• Participant can feel like the they are not saying the ‘right’ thing (explain technique and rationale well)
• Whilst useful for expert interviews, an unstructured approach can give the impression that the interviewer is unprepared, lacks knowledge or the research purpose is unclear (consider semi-structured interviews )
• Interviews are longer, resource intensive and only smaller numbers are possible (consider focus groups )
• Generates in-depth insights that are difficult to analyse and compare
• A lack of structure can encourage participants to focus in-depth on one thing they are positive about or know very well in-depth (consider using desk research to inform the interview topics)

Guerilla Interviews

When you want to carry out user research or explore general perspectives quickly and easily

An ‘impromptu’ approach to interviewing, often talking to real people on the street or at a key site

• Gaining immediate responses to a tool or design and insights into a problem
• Informal method means participants can be more relaxed and open
• Speaking to a lot of people, simply, quickly and cheaply about one key question
• User research and user experience of interacting with digital products
• Speaking to people for convenience (users are available in a single place and time) introduces sample bias (but you can add more targeting and profiling of participants, see the Guide to Sampling )
• The lack of formal structure can mean that you miss important questions or insights
• Findings are often unreliable and not generalisable because they rely on a single type of user
• Difficult to understand complexity or gain contextual insights

Telephone / online interviews

A tool for when you want to interview people quickly and easily

Telephone or Online interviews

A tool to conduct an interview (it is not a method in itself) which is not in person/ face to face

• Conducting interviews without the costs of travel and meeting time (often shorter)
• Expert and stakeholder interviews, when you already know the participant well or they are short of time
• Taking notes and looking up information whilst interviewing is less disruptive than in person, easy to record
• Sending informed consent information and interview questions in advance
• Can be difficult to undertake an engaging interview (hard to build rapport on the phone)
• Often need to be shorter and put alongside other meetings

What method are you using?

• Structured interviews : When you want to gain a broad range of perspectives about specific questions
• Semi-structured interviews : When you want to gain in-depth insights about broad questions
• Unstructured interviews : When you want to gain in-depth insights about a complex research topics

Further guides to Interviews : A nice overview here , including how to structure an interview

Contextual Interview

When you want to understand actions and particular experiences in-depth and in context

Ethnography

Interviews conducted with people in a situational context relevant to the research question; also known as contextual inquiry.

• Understanding what happens, experiences and emotions whilst interacting with a tool, service or event.
• Easier for research participants to show rather than explain, participants are active and engaged
• Uncover what happens, what people do, how they behave in the moment, rather than how they remember this and give meaning to these responses later.
• Open and flexible method giving depth of insights about a tool or specific interaction
• Time and resource intensive for the researcher
• Each context is unique - making it difficult to generalise from or to answer broader research questions about experiences (consider semi-structured interviews )
• The researcher influences the interactions and events (consider ethnography or participant observation )

When you want to understand shared experiences and different perspectives

Focus Groups

An organised discussion with a group of participants, led by a facilitator around a few key topics

• Gaining several perspectives about the same topic quickly
• Research contexts and topics where familiarity between participants can generate discussion about similar experiences (or different ones) which may not arise in a one to one interview
• When attitudes, feelings and beliefs are more likely to be revealed in social gathering and interactions
• Including tasks and creative methods to elicit views (e.g. shared ranking of importance of statements)
• Difficult to identify the individual view from the group view (consider semi-structured interviews )
• Group dynamics will affect the conversation focus and participation levels of different members
• The role of the moderator is very significant. Good levels of group leadership and interpersonal skill are required to moderate a group successfully.
• The group set-up is an ‘artificial’ social setting and discussion (consider Participant Observation )

Participant observation

When you want to ‘learn by doing’ and observe social interactions and behaviour

Participant observation/ shadowing

The researcher immerses themselves in lives of participants as an ‘observer’ of their behaviours, practices and interactions. A type of ethnography. The people being observed know about the research.

• Understanding everyday behaviours, interactions and practice in the context that they occur
• Gaining an intuitive understanding of what happens in practice and what this means for those involved
• Allowing research participants to show you what they do, when they can’t describe and remember this well
• Establishing topics for further investigation through more structured or focused research methods
• If explicit (shadowing for example) the research situation is still ‘artificial’
• Your audience may not respect it and can be difficult to generalise from (consider mixed methods)
• The quality of the data is dependent on the researchers’ skills and relationships with participants

When you want to experience social practices, interactions and behaviour with minimal influence on what happens

The systematic study of a group of people or cultures to understand behaviours and interactions. The researcher becomes an ‘insider’. It is a way of presenting research findings, as well as a method, which can include participant observation, document analysis and visual methods.

• When you need to be an ‘insider’ to fully access the research context (such as organisational cultures)
• Presenting how everyday behaviours, interactions and practice occur in context
• Gaining an in-depth knowledge of your research context, participants and social relationships
• When little is known about a research context or topic
• If covert (at a conference or workplace for example) it has implications for informed consent
• If explicit (shadowing for example) the researcher’s presence can affect the interactions and findings

Example use case : Ikea At Home research study to understand how people feel about their home

When you want to generate numerical data about the scale of people’s opinions and feelings

Mixed Methods

A process of systematically collecting information from a large number of different people. Responses are summarised as statistics (online surveys automate this analysis for you).

• Targeting specific types of research participant and providing data about their views
• If designed well, they can be quick, simple and non intrusive for research participants
• Findings can have more credibility than other methods because of their breadth
• Describing, measuring and understanding (a basic questionnaire)
• Statistical analysis, modelling cause and effect (large scale survey designed to represent the population)
• Can raise more questions about what happens and why, lack depth of insight (consider mixed methods )
• Hard to design well and require a lot of time upfront and data skills to analyse the results
• Low completion rates and people feel ‘over surveyed’ (consider incentives )
• Assumes people will be honest and sufficiently aware of the research context to provide credible answers.

Further information: A great guide to creating questions here and here , build on existing data/questions here

When one research method cannot fully answer your main research question

Mixed methods

Combining different methods to answer your research questions, can be a mix of quantitative or qualitative methods or both. It may mean working with different types of data, research designs or being part of a research team (covering different research disciplines)

• Overcoming the limitation of relying on a single research method or approach
• Triangulating findings (i.e. using an additional method) can give them more validity
• Accessing different types of research participants
• A more holistic understanding about how, why and the extent to which something happens
• Answering different types of research questions about frequency and perceptions
• Giving findings more validity and influence because of the range of data and insights
• Requires a broader range of skills and more time to deliver, analyse and report on
• Research design must have strong sequencing (when each method is used and analysed , why) to make the most of a mixed methods approach - not always possible in a tight timescale or short research project

User Research

When you want to learn about people’s needs, behaviours and motivations for using a service

Service Design

S emi-Structured Interviews

Usability testing

A research approach employed to understand users and their needs, motivations and behaviours, primarily to inform service design.

• User-centered design processes which look to ensure services meet the needs of their audience
• Gaining specific insights into how a person interacts with a digital tool or service
• Exploring general needs, behaviours and motivations for a specific target group using a range of services
• Focus on a tool or service can prevent wider analysis, relevance and applicability
• Research can lack credibility due to small numbers, set up, documentation (often highly specific focus)
• Can overlook those who do not use a service for a whole range of reasons

What method?

• User research involves any method which looks at who users are, the problems they face, what they are trying to do and how they use existing services. This can create user personas, user journeys and user experience maps. It largely includes qualitative research methods.

When you want to design a service to meet people’s needs, including planning, organising, infrastructure, communication and components)

A research approach employed in the activity of planning and organising of people, infrastructure, communication and material components of a service, in order to improve quality and interaction.

• Gaining a holistic picture of all components (infrastructure, people, organisations, culture) affecting how a person interacts with a service
• Service design often begins with user research but participants in research include all those involved in delivering (not just using) a service, such as employees and stakeholders in an organisation as well as looking at the context and system which affect how a service works and its effectiveness

Content analysis

When you want to understand public discourse through secondary or online data

A systematic process of classifying and interpreting documents, text or images to analyse key discourses (their meaning) or to quantify patterns (such as word frequencies). This can be done manually or it can be automated.

• Exploring the focus of messages, text or imagery and change over time
• Secondary data sources, such as archives, online social media data (such as Tweets) and news articles
• Gaining a qualitative or quantitative insights about key messages
• Focuses on public and documented interpretations of events and experiences
• Documents are not exhaustive and not all are accessible (or available online/freely)
• Qualitative coding is time intensive to manually classify, reliant on researcher interpretation
• Automated coding for key words can miss nuances and difficult to produce meaningful findings

When you want to engage stakeholders in research, generate ideas or codesign solutions

Also consider:

A tool to undertake research. It is an interactive session, often taking a full day, in which research participants sor stakeholders work intensively on an issue or question. The process can combine elements of qualitative research, brainstorming or problem solving.

• Engaging stakeholders - building empathy with and understanding of research findings
• Understanding problems or prototyping solutions, linked to user research and service design approaches
• Participatory research, allowing participants to shape agendas and outcomes
• Creative, collaborative and engaging activities to build rapport and understanding with participants
• Participatory design, enabling participants to co-design solutions which work for them
• Highly dependent on the right people attending and the facilitation skills
• Can be a lot of time and effort to coordinate a workshop effectively and analyse findings
• The immersive and collaborative environment makes it difficult to document effectively
• Collaborative solutions may duplicate existing problems or solutions

When you want to test prototypes or learn about problems with an existing service

A user research method where you watch participants try to complete specific tasks using your service. Moderated testing involve interaction with the research participant, asking them to explain what they are doing, thinking and feeling. Unmoderated testing is completed alone by the participant.

• Identify any usability issues with a digital service - for example, problems with the language or layout
• Seeing if users understand what they need to do in order to complete designated tasks
• Generating ideas to improve a prototype of existing digital service
• Assessing user experience
• Focus is not on ‘natural’ use (consider contextual interviews , participant observation , ethnography )
• Data is about a specific design and interaction with a tool at that moment
• Findings cannot be generalised or applicable more broadly to understand users and behaviours

Chapter 20. Presentations

Introduction.

If a tree falls in a forest, and no one is around to hear it, does it make a sound? If a qualitative study is conducted, but it is not presented (in words or text), did it really happen? Perhaps not. Findings from qualitative research are inextricably tied up with the way those findings are presented. These presentations do not always need to be in writing, but they need to happen. Think of ethnographies, for example, and their thick descriptions of a particular culture. Witnessing a culture, taking fieldnotes, talking to people—none of those things in and of themselves convey the culture. Or think about an interview-based phenomenological study. Boxes of interview transcripts might be interesting to read through, but they are not a completed study without the intervention of hours of analysis and careful selection of exemplary quotes to illustrate key themes and final arguments and theories. And unlike much quantitative research in the social sciences, where the final write-up neatly reports the results of analyses, the way the “write-up” happens is an integral part of the analysis in qualitative research. Once again, we come back to the messiness and stubborn unlinearity of qualitative research. From the very beginning, when designing the study, imagining the form of its ultimate presentation is helpful.

Because qualitative researchers are motivated by understanding and conveying meaning, effective communication is not only an essential skill but a fundamental facet of the entire research project. Ethnographers must be able to convey a certain sense of verisimilitude, the appearance of true reality. Those employing interviews must faithfully depict the key meanings of the people they interviewed in a way that rings true to those people, even if the end result surprises them. And all researchers must strive for clarity in their publications so that various audiences can understand what was found and why it is important. This chapter will address how to organize various kinds of presentations for different audiences so that your results can be appreciated and understood.

In the world of academic science, social or otherwise, the primary audience for a study’s results is usually the academic community, and the primary venue for communicating to this audience is the academic journal. Journal articles are typically fifteen to thirty pages in length (8,000 to 12,000 words). Although qualitative researchers often write and publish journal articles—indeed, there are several journals dedicated entirely to qualitative research [1] —the best writing by qualitative researchers often shows up in books. This is because books, running from 80,000 to 150,000 words in length, allow the researcher to develop the material fully. You have probably read some of these in various courses you have taken, not realizing what they are. I have used examples of such books throughout this text, beginning with the three profiles in the introductory chapter. In some instances, the chapters in these books began as articles in academic journals (another indication that the journal article format somewhat limits what can be said about the study overall).

While the article and the book are “final” products of qualitative research, there are actually a few other presentation formats that are used along the way. At the very beginning of a research study, it is often important to have a written research proposal not just to clarify to yourself what you will be doing and when but also to justify your research to an outside agency, such as an institutional review board (IRB; see chapter 12), or to a potential funder, which might be your home institution, a government funder (such as the National Science Foundation, or NSF), or a private foundation (such as the Gates Foundation). As you get your research underway, opportunities will arise to present preliminary findings to audiences, usually through presentations at academic conferences. These presentations can provide important feedback as you complete your analyses. Finally, if you are completing a degree and looking to find an academic job, you will be asked to provide a “job talk,” usually about your research. These job talks are similar to conference presentations but can run significantly longer.

All the presentations mentioned so far are (mostly) for academic audiences. But qualitative research is also unique in that many of its practitioners don’t want to confine their presentation only to other academics. Qualitative researchers who study particular contexts or cultures might want to report back to the people and places they observed. Those working in the critical tradition might want to raise awareness of a particular issue to as large an audience as possible. Many others simply want everyday, nonacademic people to read their work, because they think it is interesting and important. To reach a wide audience, the final product can look like almost anything—it can be a poem, a blog, a podcast, even a science fiction short story. And if you are very lucky, it can even be a national or international bestseller.

In this chapter, we are going to stick with the more basic quotidian presentations—the academic paper / research proposal, the conference slideshow presentation / job talk, and the conference poster. We’ll also spend a bit of time on incorporating universal design into your presentations and how to create some especially attractive and impactful visual displays.

Researcher Note

What is the best piece of advice you’ve ever been given about conducting qualitative research?

The best advice I’ve received came from my adviser, Alford Young Jr. He told me to find the “Jessi Streib” answer to my research question, not the “Pierre Bourdieu” answer to my research question. In other words, don’t just say how a famous theorist would answer your question; say something original, something coming from you.

—Jessi Streib, author of The Power of the Past and Privilege Lost 

Writing about Your Research

The journal article and the research proposal.

Although the research proposal is written before you have actually done your research and the article is written after all data collection and analysis is complete, there are actually many similarities between the two in terms of organization and purpose. The final article will (probably—depends on how much the research question and focus have shifted during the research itself) incorporate a great deal of what was included in a preliminary research proposal. The average lengths of both a proposal and an article are quite similar, with the “front sections” of the article abbreviated to make space for the findings, discussion of findings, and conclusion.

Figure 20.1 shows one model for what to include in an article or research proposal, comparing the elements of each with a default word count for each section. Please note that you will want to follow whatever specific guidelines you have been provided by the venue you are submitting the article/proposal to: the IRB, the NSF, the Journal of Qualitative Research . In fact, I encourage you to adapt the default model as needed by swapping out expected word counts for each section and adding or varying the sections to match expectations for your particular publication venue. [2]

You will notice a few things about the default model guidelines. First, while half of the proposal is spent discussing the research design, this section is shortened (but still included) for the article. There are a few elements that only show up in the proposal (e.g., the limitations section is in the introductory section here—it will be more fully developed in the conclusory section in the article). Obviously, you don’t have findings in the proposal, so this is an entirely new section for the article. Note that the article does not include a data management plan or a timeline—two aspects that most proposals require.

It might be helpful to find and maintain examples of successfully written sections that you can use as models for your own writing. I have included a few of these throughout the textbook and have included a few more at the end of this chapter.

Make an Argument

Some qualitative researchers, particularly those engaged in deep ethnographic research, focus their attention primarily if not exclusively on describing the data. They might even eschew the notion that they should make an “argument” about the data, preferring instead to use thick descriptions to convey interpretations. Bracketing the contrast between interpretation and argument for the moment, most readers will expect you to provide an argument about your data, and this argument will be in answer to whatever research question you eventually articulate (remember, research questions are allowed to shift as you get further into data collection and analysis). It can be frustrating to read a well-developed study with clear and elegant descriptions and no argument. The argument is the point of the research, and if you do not have one, 99 percent of the time, you are not finished with your analysis. Calarco ( 2020 ) suggests you imagine a pyramid, with all of your data forming the basis and all of your findings forming the middle section; the top/point of the pyramid is your argument, “what the patterns in your data tell us about how the world works or ought to work” ( 181 ).

The academic community to which you belong will be looking for an argument that relates to or develops theory. This is the theoretical generalizability promise of qualitative research. An academic audience will want to know how your findings relate to previous findings, theories, and concepts (the literature review; see chapter 9). It is thus vitally important that you go back to your literature review (or develop a new one) and draw those connections in your discussion and/or conclusion. When writing to other audiences, you will still want an argument, although it may not be written as a theoretical one. What do I mean by that? Even if you are not referring to previous literature or developing new theories or adapting older ones, a simple description of your findings is like dumping a lot of leaves in the lap of your audience. They still deserve to know about the shape of the forest. Maybe provide them a road map through it. Do this by telling a clear and cogent story about the data. What is the primary theme, and why is it important? What is the point of your research? [3]

A beautifully written piece of research based on participant observation [and/or] interviews brings people to life, and helps the reader understand the challenges people face. You are trying to use vivid, detailed and compelling words to help the reader really understand the lives of the people you studied. And you are trying to connect the lived experiences of these people to a broader conceptual point—so that the reader can understand why it matters. ( Lareau 2021:259 )

Do not hide your argument. Make it the focal point of your introductory section, and repeat it as often as needed to ensure the reader remembers it. I am always impressed when I see researchers do this well (see, e.g., Zelizer 1996 ).

Here are a few other suggestions for writing your article: Be brief. Do not overwhelm the reader with too many words; make every word count. Academics are particularly prone to “overwriting” as a way of demonstrating proficiency. Don’t. When writing your methods section, think about it as a “recipe for your work” that allows other researchers to replicate if they so wish ( Calarco 2020:186 ). Convey all the necessary information clearly, succinctly, and accurately. No more, no less. [4] Do not try to write from “beginning to end” in that order. Certain sections, like the introductory section, may be the last ones you write. I find the methods section the easiest, so I often begin there. Calarco ( 2020 ) begins with an outline of the analysis and results section and then works backward from there to outline the contribution she is making, then the full introduction that serves as a road map for the writing of all sections. She leaves the abstract for the very end. Find what order best works for you.

Presenting at Conferences and Job Talks

Students and faculty are primarily called upon to publicly present their research in two distinct contexts—the academic conference and the “job talk.” By convention, conference presentations usually run about fifteen minutes and, at least in sociology and other social sciences, rely primarily on the use of a slideshow (PowerPoint Presentation or PPT) presentation. You are usually one of three or four presenters scheduled on the same “panel,” so it is an important point of etiquette to ensure that your presentation falls within the allotted time and does not crowd into that of the other presenters. Job talks, on the other hand, conventionally require a forty- to forty-five-minute presentation with a fifteen- to twenty-minute question and answer (Q&A) session following it. You are the only person presenting, so if you run over your allotted time, it means less time for the Q&A, which can disturb some audience members who have been waiting for a chance to ask you something. It is sometimes possible to incorporate questions during your presentation, which allows you to take the entire hour, but you might end up shorting your presentation this way if the questions are numerous. It’s best for beginners to stick to the “ask me at the end” format (unless there is a simple clarifying question that can easily be addressed and makes the presentation run more smoothly, as in the case where you simply forgot to include information on the number of interviews you conducted).

For slideshows, you should allot two or even three minutes for each slide, never less than one minute. And those slides should be clear, concise, and limited. Most of what you say should not be on those slides at all. The slides are simply the main points or a clear image of what you are speaking about. Include bulleted points (words, short phrases), not full sentences. The exception is illustrative quotations from transcripts or fieldnotes. In those cases, keep to one illustrative quote per slide, and if it is long, bold or otherwise, highlight the words or passages that are most important for the audience to notice. [5]

Figure 20.2 provides a possible model for sections to include in either a conference presentation or a job talk, with approximate times and approximate numbers of slides. Note the importance (in amount of time spent) of both the research design and the findings/results sections, both of which have been helpfully starred for you. Although you don’t want to short any of the sections, these two sections are the heart of your presentation.

Fig 20.2. Suggested Slideshow Times and Number of Slides

Should you write out your script to read along with your presentation? I have seen this work well, as it prevents presenters from straying off topic and keeps them to the time allotted. On the other hand, these presentations can seem stiff and wooden. Personally, although I have a general script in advance, I like to speak a little more informally and engagingly with each slide, sometimes making connections with previous panelists if I am at a conference. This means I have to pay attention to the time, and I sometimes end up breezing through one section more quickly than I would like. Whatever approach you take, practice in advance. Many times. With an audience. Ask for feedback, and pay attention to any presentation issues that arise (e.g., Do you speak too fast? Are you hard to hear? Do you stumble over a particular word or name?).

Even though there are rules and guidelines for what to include, you will still want to make your presentation as engaging as possible in the little amount of time you have. Calarco ( 2020:274 ) recommends trying one of three story structures to frame your presentation: (1) the uncertain explanation , where you introduce a phenomenon that has not yet been fully explained and then describe how your research is tackling this; (2) the uncertain outcome , where you introduce a phenomenon where the consequences have been unclear and then you reveal those consequences with your research; and (3) the evocative example , where you start with some interesting example from your research (a quote from the interview transcripts, for example) or the real world and then explain how that example illustrates the larger patterns you found in your research. Notice that each of these is a framing story. Framing stories are essential regardless of format!

A Word on Universal Design

Please consider accessibility issues during your presentation, and incorporate elements of universal design into your slideshow. The basic idea behind universal design in presentations is that to the greatest extent possible, all people should be able to view, hear, or otherwise take in your presentation without needing special individual adaptations. If you can make your presentation accessible to people with visual impairment or hearing loss, why not do so? For example, one in twelve men is color-blind, unable to differentiate between certain colors, red/green being the most common problem. So if you design a graphic that relies on red and green bars, some of your audience members may not be able to properly identify which bar means what. Simple contrasts of black and white are much more likely to be visible to all members of your audience. There are many other elements of good universal design, but the basic foundation of all of them is that you consider how to make your presentation as accessible as possible at the outset. For example, include captions whenever possible, both as descriptions on slides and as images on slides and for any audio or video clips you are including; keep font sizes large enough to read from the back of the room; and face the audience when you are.

Poster Design

Undergraduate students who present at conferences are often encouraged to present at “poster sessions.” This usually means setting up a poster version of your research in a large hall or convention space at a set period of time—ninety minutes is common. Your poster will be one of dozens, and conference-goers will wander through the space, stopping intermittently at posters that attract them. Those who stop by might ask you questions about your research, and you are expected to be able to talk intelligently for two or three minutes. It’s a fairly easy way to practice presenting at conferences, which is why so many organizations hold these special poster sessions.

A good poster design will be immediately attractive to passersby and clearly and succinctly describe your research methods, findings, and conclusions. Some students have simply shrunk down their research papers to manageable sizes and then pasted them on a poster, all twelve to fifteen pages of them. Don’t do that! Here are some better suggestions: State the main conclusion of your research in large bold print at the top of your poster, on brightly colored (contrasting) paper, and paste in a QR code that links to your full paper online ( Calarco 2020:280 ). Use the rest of the poster board to provide a couple of highlights and details of the study. For an interview-based study, for example, you will want to put in some details about your sample (including number of interviews) and setting and then perhaps one or two key quotes, also distinguished by contrasting color background.

Incorporating Visual Design in Your Presentations

In addition to ensuring that your presentation is accessible to as large an audience as possible, you also want to think about how to display your data in general, particularly how to use charts and graphs and figures. [6] The first piece of advice is, use them! As the saying goes, a picture is worth a thousand words. If you can cut to the chase with a visually stunning display, do so. But there are visual displays that are stunning, and then there are the tired, hard-to-see visual displays that predominate at conferences. You can do better than most presenters by simply paying attention here and committing yourself to a good design. As with model section passages, keep a file of visual displays that work as models for your own presentations. Find a good guidebook to presenting data effectively (Evergreen 2018 , 2019 ; Schwabisch 2021) , and refer to it often.

Let me make a few suggestions here to get you started. First, test every visual display on a friend or colleague to find out how quickly they can understand the point you are trying to convey. As with reading passages aloud to ensure that your writing works, showing someone your display is the quickest way to find out if it works. Second, put the point in the title of the display! When writing for an academic journal, there will be specific conventions of what to include in the title (full description including methods of analysis, sample, dates), but in a public presentation, there are no limiting rules. So you are free to write as your title “Working-Class College Students Are Three Times as Likely as Their Peers to Drop Out of College,” if that is the point of the graphic display. It certainly helps the communicative aspect. Third, use the themes available to you in Excel for creating graphic displays, but alter them to better fit your needs . Consider adding dark borders to bars and columns, for example, so that they appear crisper for your audience. Include data callouts and labels, and enlarge them so they are clearly visible. When duplicative or otherwise unnecessary, drop distracting gridlines and labels on the y-axis (the vertical one). Don’t go crazy adding different fonts, however—keep things simple and clear. Sans serif fonts (those without the little hooks on the ends of letters) read better from a distance. Try to use the same color scheme throughout, even if this means manually changing the colors of bars and columns. For example, when reporting on working-class college students, I use blue bars, while I reserve green bars for wealthy students and yellow bars for students in the middle. I repeat these colors throughout my presentations and incorporate different colors when talking about other items or factors. You can also try using simple grayscale throughout, with pops of color to indicate a bar or column or line that is of the most interest. These are just some suggestions. The point is to take presentation seriously and to pay attention to visual displays you are using to ensure they effectively communicate what you want them to communicate. I’ve included a data visualization checklist from Evergreen ( 2018 ) here.

Ethics of Presentation and Reliability

Until now, all the data you have collected have been yours alone. Once you present the data, however, you are sharing sometimes very intimate information about people with a broader public. You will find yourself balancing between protecting the privacy of those you’ve interviewed and observed and needing to demonstrate the reliability of the study. The more information you provide to your audience, the more they can understand and appreciate what you have found, but this also may pose risks to your participants. There is no one correct way to go about finding the right balance. As always, you have a duty to consider what you are doing and must make some hard decisions.

The most obvious place we see this paradox emerge is when you mask your data to protect the privacy of your participants. It is standard practice to provide pseudonyms, for example. It is such standard practice that you should always assume you are being given a pseudonym when reading a book or article based on qualitative research. When I was a graduate student, I tried to find information on how best to construct pseudonyms but found little guidance. There are some ethical issues here, I think. [7] Do you create a name that has the same kind of resonance as the original name? If the person goes by a nickname, should you use a nickname as a pseudonym? What about names that are ethnically marked (as in, almost all of them)? Is there something unethical about reracializing a person? (Yes!) In her study of adolescent subcultures, Wilkins ( 2008 ) noted, “Because many of the goths used creative, alternative names rather than their given names, I did my best to reproduce the spirit of their chosen names” ( 24 ).

Your reader or audience will want to know all the details about your participants so that they can gauge both your credibility and the reliability of your findings. But how many details are too many? What if you change the name but otherwise retain all the personal pieces of information about where they grew up, and how old they were when they got married, and how many children they have, and whether they made a splash in the news cycle that time they were stalked by their ex-boyfriend? At some point, those details are going to tip over into the zone of potential unmasking. When you are doing research at one particular field site that may be easily ascertained (as when you interview college students, probably at the institution at which you are a student yourself), it is even more important to be wary of providing too many details. You also need to think that your participants might read what you have written, know things about the site or the population from which you drew your interviews, and figure out whom you are talking about. This can all get very messy if you don’t do more than simply pseudonymize the people you interviewed or observed.

There are some ways to do this. One, you can design a study with all of these risks in mind. That might mean choosing to conduct interviews or observations at multiple sites so that no one person can be easily identified. Another is to alter some basic details about your participants to protect their identity or to refuse to provide all the information when selecting quotes . Let’s say you have an interviewee named “Anna” (a pseudonym), and she is a twenty-four-year-old Latina studying to be an engineer. You want to use a quote from Anna about racial discrimination in her graduate program. Instead of attributing the quote to Anna (whom your reader knows, because you’ve already told them, is a twenty-four-year-old Latina studying engineering), you might simply attribute the quote to “Latina student in STEM.” Taking this a step further, you might leave the quote unattributed, providing a list of quotes about racial discrimination by “various students.”

The problem with masking all the identifiers, of course, is that you lose some of the analytical heft of those attributes. If it mattered that Anna was twenty-four (not thirty-four) and that she was a Latina and that she was studying engineering, taking out any of those aspects of her identity might weaken your analysis. This is one of those “hard choices” you will be called on to make! A rather radical and controversial solution to this dilemma is to create composite characters , characters based on the reality of the interviews but fully masked because they are not identifiable with any one person. My students are often very queasy about this when I explain it to them. The more positivistic your approach and the more you see individuals rather than social relationships/structure as the “object” of your study, the more employing composites will seem like a really bad idea. But composites “allow researchers to present complex, situated accounts from individuals” without disclosing personal identities ( Willis 2019 ), and they can be effective ways of presenting theory narratively ( Hurst 2019 ). Ironically, composites permit you more latitude when including “dirty laundry” or stories that could harm individuals if their identities became known. Rather than squeezing out details that could identify a participant, the identities are permanently removed from the details. Great difficulty remains, however, in clearly explaining the theoretical use of composites to your audience and providing sufficient information on the reliability of the underlying data.

There are a host of other ethical issues that emerge as you write and present your data. This is where being reflective throughout the process will help. How and what you share of what you have learned will depend on the social relationships you have built, the audiences you are writing or speaking to, and the underlying animating goals of your study. Be conscious about all of your decisions, and then be able to explain them fully, both to yourself and to those who ask.

Our research is often close to us. As a Black woman who is a first-generation college student and a professional with a poverty/working-class origin, each of these pieces of my identity creates nuances in how I engage in my research, including how I share it out. Because of this, it’s important for us to have people in our lives who we trust who can help us, particularly, when we are trying to share our findings. As researchers, we have been steeped in our work, so we know all the details and nuances. Sometimes we take this for granted, and we might not have shared those nuances in conversation or writing or taken some of this information for granted. As I share my research with trusted friends and colleagues, I pay attention to the questions they ask me or the feedback they give when we talk or when they read drafts.

—Kim McAloney, PhD, College Student Services Administration Ecampus coordinator and instructor

Final Comments: Preparing for Being Challenged

Once you put your work out there, you must be ready to be challenged. Science is a collective enterprise and depends on a healthy give and take among researchers. This can be both novel and difficult as you get started, but the more you understand the importance of these challenges, the easier it will be to develop the kind of thick skin necessary for success in academia. Scientists’ authority rests on both the inherent strength of their findings and their ability to convince other scientists of the reliability and validity and value of those findings. So be prepared to be challenged, and recognize this as simply another important aspect of conducting research!

Considering what challenges might be made as you design and conduct your study will help you when you get to the writing and presentation stage. Address probable challenges in your final article, and have a planned response to probable questions in a conference presentation or job talk. The following is a list of common challenges of qualitative research and how you might best address them:

• Questions about generalizability . Although qualitative research is not statistically generalizable (and be prepared to explain why), qualitative research is theoretically generalizable. Discuss why your findings here might tell us something about related phenomena or contexts.
• Questions about reliability . You probably took steps to ensure the reliability of your findings. Discuss them! This includes explaining the use and value of multiple data sources and defending your sampling and case selections. It also means being transparent about your own position as researcher and explaining steps you took to ensure that what you were seeing was really there.
• Questions about replicability. Although qualitative research cannot strictly be replicated because the circumstances and contexts will necessarily be different (if only because the point in time is different), you should be able to provide as much detail as possible about how the study was conducted so that another researcher could attempt to confirm or disconfirm your findings. Also, be very clear about the limitations of your study, as this allows other researchers insight into what future research might be warranted.

None of this is easy, of course. Writing beautifully and presenting clearly and cogently require skill and practice. If you take anything from this chapter, it is to remember that presentation is an important and essential part of the research process and to allocate time for this as you plan your research.

Data Visualization Checklist for Slideshow (PPT) Presentations

Adapted from Evergreen ( 2018 )

Text checklist

• Short catchy, descriptive titles (e.g., “Working-class students are three times as likely to drop out of college”) summarize the point of the visual display
• Subtitled and annotations provide additional information (e.g., “note: male students also more likely to drop out”)
• Text size is hierarchical and readable (titles are largest; axes labels smallest, which should be at least 20points)
• Text is horizontal. Audience members cannot read vertical text!
• All data labeled directly and clearly: get rid of those “legends” and embed the data in your graphic display
• Labels are used sparingly; avoid redundancy (e.g., do not include both a number axis and a number label)

Arrangement checklist

• Proportions are accurate; bar charts should always start at zero; don’t mislead the audience!
• Data are intentionally ordered (e.g., by frequency counts). Do not leave ragged alphabetized bar graphs!
• Axis intervals are equidistant: spaces between axis intervals should be the same unit
• Graph is two-dimensional. Three-dimensional and “bevelled” displays are confusing
• There is no unwanted decoration (especially the kind that comes automatically through the PPT “theme”). This wastes your space and confuses.

Color checklist

• There is an intentional color scheme (do not use default theme)
• Color is used to identify key patterns (e.g., highlight one bar in red against six others in greyscale if this is the bar you want the audience to notice)
• Color is still legible when printed in black and white
• Color is legible for people with color blindness (do not use red/green or yellow/blue combinations)
• There is sufficient contrast between text and background (black text on white background works best; be careful of white on dark!)

Lines checklist

• Be wary of using gridlines; if you do, mute them (grey, not black)
• Allow graph to bleed into surroundings (don’t use border lines)
• Remove axis lines unless absolutely necessary (better to label directly)

Overall design checklist

• The display highlights a significant finding or conclusion that your audience can ‘”see” relatively quickly
• The type of graph (e.g., bar chart, pie chart, line graph) is appropriate for the data. Avoid pie charts with more than three slices!
• Graph has appropriate level of precision; if you don’t need decimal places
• All the chart elements work together to reinforce the main message

Universal Design Checklist for Slideshow (PPT) Presentations

• Include both verbal and written descriptions (e.g., captions on slides); consider providing a hand-out to accompany the presentation
• Microphone available (ask audience in back if they can clearly hear)
• Face audience; allow people to read your lips
• Turn on captions when presenting audio or video clips
• Adjust light settings for visibility
• Speak slowly and clearly; practice articulation; don’t mutter or speak under your breath (even if you have something humorous to say – say it loud!)
• Use Black/White contrasts for easy visibility; or use color contrasts that are real contrasts (do not rely on people being able to differentiate red from green, for example)
• Use easy to read font styles and avoid too small font sizes: think about what an audience member in the back row will be able to see and read.
• Keep your slides simple: do not overclutter them; if you are including quotes from your interviews, take short evocative snippets only, and bold key words and passages. You should also read aloud each passage, preferably with feeling!

Supplement: Models of Written Sections for Future Reference

Data collection section example.

Interviews were semi structured, lasted between one and three hours, and took place at a location chosen by the interviewee. Discussions centered on four general topics: (1) knowledge of their parent’s immigration experiences; (2) relationship with their parents; (3) understanding of family labor, including language-brokering experiences; and (4) experiences with school and peers, including any future life plans. While conducting interviews, I paid close attention to respondents’ nonverbal cues, as well as their use of metaphors and jokes. I conducted interviews until I reached a point of saturation, as indicated by encountering repeated themes in new interviews (Glaser and Strauss 1967). Interviews were audio recorded, transcribed with each interviewee’s permission, and conducted in accordance with IRB protocols. Minors received permission from their parents before participation in the interview. ( Kwon 2022:1832 )

Justification of Case Selection / Sample Description Section Example

Looking at one profession within one organization and in one geographic area does impose limitations on the generalizability of our findings. However, it also has advantages. We eliminate the problem of interorganizational heterogeneity. If multiple organizations are studied simultaneously, it can make it difficult to discern the mechanisms that contribute to racial inequalities. Even with a single occupation there is considerable heterogeneity, which may make understanding how organizational structure impacts worker outcomes difficult. By using the case of one group of professionals in one religious denomination in one geographic region of the United States, we clarify how individuals’ perceptions and experiences of occupational inequality unfold in relation to a variety of observed and unobserved occupational and contextual factors that might be obscured in a larger-scale study. Focusing on a specific group of professionals allows us to explore and identify ways that formal organizational rules combine with informal processes to contribute to the persistence of racial inequality. ( Eagle and Mueller 2022:1510–1511 )

Ethics Section Example

I asked everyone who was willing to sit for a formal interview to speak only for themselves and offered each of them a prepaid Visa Card worth $25–40. I also offered everyone the opportunity to keep the card and erase the tape completely at any time they were dissatisfied with the interview in any way. No one asked for the tape to be erased; rather, people remarked on the interview being a really good experience because they felt heard. Each interview was professionally transcribed and for the most part the excerpts are literal transcriptions. In a few places, the excerpts have been edited to reduce colloquial features of speech (e.g., you know, like, um) and some recursive elements common to spoken language. A few excerpts were placed into standard English for clarity. I made this choice for the benefit of readers who might otherwise find the insights and ideas harder to parse in the original. However, I have to acknowledge this as an act of class-based violence. I tried to keep the original phrasing whenever possible. ( Pascale 2021:235 )

Further Readings

Calarco, Jessica McCrory. 2020. A Field Guide to Grad School: Uncovering the Hidden Curriculum . Princeton, NJ: Princeton University Press. Don’t let the unassuming title mislead you—there is a wealth of helpful information on writing and presenting data included here in a highly accessible manner. Every graduate student should have a copy of this book.

Edwards, Mark. 2012. Writing in Sociology . Thousand Oaks, CA: SAGE. An excellent guide to writing and presenting sociological research by an Oregon State University professor. Geared toward undergraduates and useful for writing about either quantitative or qualitative research or both.

Evergreen, Stephanie D. H. 2018. Presenting Data Effectively: Communicating Your Findings for Maximum Impact . Thousand Oaks, CA: SAGE. This is one of my very favorite books, and I recommend it highly for everyone who wants their presentations and publications to communicate more effectively than the boring black-and-white, ragged-edge tables and figures academics are used to seeing.

Evergreen, Stephanie D. H. 2019. Effective Data Visualization 2 . Thousand Oaks, CA: SAGE. This is an advanced primer for presenting clean and clear data using graphs, tables, color, font, and so on. Start with Evergreen (2018), and if you graduate from that text, move on to this one.

Schwabisch, Jonathan. 2021. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks . New York: Columbia University Press. Where Evergreen’s (2018, 2019) focus is on how to make the best visual displays possible for effective communication, this book is specifically geared toward visual displays of academic data, both quantitative and qualitative. If you want to know when it is appropriate to use a pie chart instead of a stacked bar chart, this is the reference to use.

• Some examples: Qualitative Inquiry , Qualitative Research , American Journal of Qualitative Research , Ethnography , Journal of Ethnographic and Qualitative Research , Qualitative Report , Qualitative Sociology , and Qualitative Studies . ↵
• This is something I do with every article I write: using Excel, I write each element of the expected article in a separate row, with one column for “expected word count” and another column for “actual word count.” I fill in the actual word count as I write. I add a third column for “comments to myself”—how things are progressing, what I still need to do, and so on. I then use the “sum” function below each of the first two columns to keep a running count of my progress relative to the final word count. ↵
• And this is true, I would argue, even when your primary goal is to leave space for the voices of those who don’t usually get a chance to be part of the conversation. You will still want to put those voices in some kind of choir, with a clear direction (song) to be sung. The worst thing you can do is overwhelm your audience with random quotes or long passages with no key to understanding them. Yes, a lot of metaphors—qualitative researchers love metaphors! ↵
• To take Calarco’s recipe analogy further, do not write like those food bloggers who spend more time discussing the color of their kitchen or the experiences they had at the market than they do the actual cooking; similarly, do not write recipes that omit crucial details like the amount of flour or the size of the baking pan used or the temperature of the oven. ↵
• The exception is the “compare and contrast” of two or more quotes, but use caution here. None of the quotes should be very long at all (a sentence or two each). ↵
• Although this section is geared toward presentations, many of the suggestions could also be useful when writing about your data. Don’t be afraid to use charts and graphs and figures when writing your proposal, article, thesis, or dissertation. At the very least, you should incorporate a tabular display of the participants, sites, or documents used. ↵
• I was so puzzled by these kinds of questions that I wrote one of my very first articles on it ( Hurst 2008 ). ↵

The visual presentation of data or information through graphics such as charts, graphs, plots, infographics, maps, and animation.  Recall the best documentary you ever viewed, and there were probably excellent examples of good data visualization there (for me, this was An Inconvenient Truth , Al Gore’s film about climate change).  Good data visualization allows more effective communication of findings of research, particularly in public presentations (e.g., slideshows).

Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.

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How to Present Your Research (Guidelines and Tips)

Published on 01 Feb 2023

Presenting at a conference can be stressful, but can lead to many opportunities, which is why coming prepared is super beneficial.

The internet is full to the brim with tips for making a good presentation. From what you wear to how you stand to good slide design, there’s no shortage of advice to make any old presentation come to life. 

But, not all presentations are created equal. Research presentations, in particular, are unique. 

Communicating complex concepts to an audience with a varied range of awareness about your research topic can be tricky. A lack of guidance and preparation can ruin your chance to share important information with a conference community. This could mean lost opportunities in collaboration or funding or lost confidence in yourself and your work.

So, we’ve put together a list of tips with research presentations in mind. Here’s our top to-do’s when preparing to present your research.

Take every research presentation opportunity

The worst thing you could do for your research is to not present it at all. As intimidating as it can be to get up in front of an audience, you shouldn’t let that stop you from seizing a good opportunity to share your work with a wider community.

These contestants from the Vitae Three Minute Thesis Competition have some great advice to share on taking every possible chance to talk about your research. 

Double-check your research presentation guidelines

Before you get started on your presentation, double-check if you’ve been given guidelines for it. 

If you don’t have specific guidelines for the context of your presentation, we’ve put together a general outline to help you get started. It’s made with the assumption of a 10-15 minute presentation time. So, if you have longer to present, you can always extend important sections or talk longer on certain slides:

• Title Slide (1 slide) - This is a placeholder to give some visual interest and display the topic until your presentation begins.
• Short Introduction (2-3 slides) - This is where you pique the interest of your audience and establish the key questions your presentation covers. Give context to your study with a brief review of the literature (focus on key points, not a full review). If your study relates to any particularly relevant issues, mention it here to increase the audience's interest in the topic.
• Hypothesis (1 slide) - Clearly state your hypothesis.
• Description of Methods (2-3 slides) - Clearly, but briefly, summarize your study design including a clear description of the study population, the sample size and any instruments or manipulations to gather the data.
• Results and Data Interpretation (2-4 slides) - Illustrate your results through simple tables, graphs, and images. Remind the audience of your hypothesis and discuss your interpretation of the data/results.
• Conclusion (2-3 slides) - Further interpret your results. If you had any sources of error or difficulties with your methods, discuss them here and address how they could be (or were) improved. Discuss your findings as part of the bigger picture and connect them to potential further outcomes or areas of study.
• Closing (1 slide) - If anyone supported your research with guidance, awards, or funding, be sure to recognize their contribution. If your presentation includes a Q&A session, open the floor to questions.

Plan for about one minute for each slide of information that you have. Be sure that you don’t cram your slides with text (stick to bullet points and images to emphasize key points).

And, if you’re looking for more inspiration to help you in scripting an oral research presentation. University of Virginia has a helpful oral presentation outline script .

A PhD Student working on an upcoming oral presentation.

Put yourself in your listeners shoes

As mentioned in the intro, research presentations are unique because they deal with specialized topics and complicated concepts. There’s a good chance that a large section of your audience won’t have the same understanding of your topic area as you do. So, do your best to understand where your listeners are at and adapt your language/definitions to that.

There’s an increasing awareness around the importance of scientific communication. Comms experts have even started giving TED Talks on how to bridge the gap between science and the public (check out Talk Nerdy to Me ). A general communication tip is to find out what sort of audience will listen to your talk. Then, beware of using jargon and acronyms unless you're 100% certain that your audience knows what they mean. 

On the other end of the spectrum, you don’t want to underestimate your audience. Giving too much background or spending ages summarizing old work to a group of experts in the field would be a waste of valuable presentation time (and would put you at risk of losing your audience's interest). 

Finally, if you can, practice your presentation on someone with a similar level of topic knowledge to the audience you’ll be presenting to.

Use scientific storytelling in your presentation

In scenarios where it’s appropriate, crafting a story allows you to break free from the often rigid tone of scientific communications. It helps your brain hit the refresh button and observe your findings from a new perspective. Plus, it can be a lot of fun to do!

If you have a chance to use scientific storytelling in your presentation, take full advantage of it. The best way to weave a story for your audience into a presentation is by setting the scene during your introduction. As you set the context of your research, set the context of your story/example at the same time. Continue drawing those parallels as you present. Then, deliver the main message of the story (or the “Aha!”) moment during your presentation’s conclusion.

If delivered well, a good story will keep your audience on the edge of their seats and glued to your entire presentation.

Emphasize the “Why” (not the “How”) of your research

Along the same lines as using storytelling, it’s important to think of WHY your audience should care about your work. Find ways to connect your research to valuable outcomes in society. Take your individual points on each slide and bring things back to the bigger picture. Constantly remind your listeners how it’s all connected and why that’s important.

One helpful way to get in this mindset is to look back to the moment before you became an expert on your topic. What got you interested? What was the reason for asking your research question? And, what motivated you to power through all the hard work to come? Then, looking forward, think about what key takeaways were most interesting or surprised you the most. How can these be applied to impact positive change in your research field or the wider community?

Be picky about what you include

It’s tempting to discuss all the small details of your methods or findings. Instead, focus on the most important information and takeaways that you think your audience will connect with. Decide on these takeaways before you script your presentation so that you can set the scene properly and provide only the information that has an added value.

When it comes to choosing data to display in your presentation slides, keep it simple. Wherever possible, use visuals to communicate your findings as opposed to large tables filled with numbers. This article by Richard Chambers has some great tips on using visuals in your slides and graphs.

Hide your complex tables and data in additional slides

With the above tip in mind: Just because you don’t include data and tables in your main presentation slides, doesn’t mean you can’t keep them handy for reference. If there’s a Q&A session after your presentation (or if you’ll be sharing your slides to view on-demand after) one great trick is to include additional slides/materials after your closing slide. You can keep these in your metaphorical “back pocket” to refer to if a specific question is asked about a data set or method. They’re also handy for people viewing your presentation slides later that might want to do a deeper dive into your methods/results.

However, just because you have these extra slides doesn’t mean you shouldn’t make the effort to make that information more accessible. A research conference platform like Fourwaves allows presenters to attach supplementary materials (figures, posters, slides, videos and more) that conference participants can access anytime.

Leave your audience with (a few) questions

Curiosity is a good thing. Whether you have a Q&A session or not, you should want to leave your audience with a few key questions. The most important one:

“Where can I find out more?”

Obviously, it’s important to answer basic questions about your research context, hypothesis, methods, results, and interpretation. If you answer these while focusing on the “Why?” and weaving a good story, you’ll be setting the stage for an engaging Q&A session and/or some great discussions in the halls after your presentation. Just be sure that you have further links or materials ready to provide to those who are curious. 

Conclusion: The true expert in your research presentation

Throughout the entire process of scripting, creating your slides, and presenting, it’s important to remember that no one knows your research better than you do. If you’re nervous, remind yourself that the people who come to listen to your presentation are most likely there due to a genuine interest in your work. The pressure isn’t to connect with an uninterested audience - it’s to make your research more accessible and relevant for an already curious audience.

Finally, to practice what we preached in our last tip: If you’re looking to learn more about preparing for a research presentation, check out our articles on how to dress for a scientific conference and general conference presentation tips .

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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on September 5, 2024.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation , or research paper , the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic .

It should include:

• The type of research you conducted
• How you collected and analyzed your data
• Any tools or materials you used in the research
• How you mitigated or avoided research biases
• Why you chose these methods
• Your methodology section should generally be written in the past tense . Our grammar checker can help ensure consistency in your writing.
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, other interesting articles, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ? How did you prevent bias from affecting your data?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalizable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalized your concepts and measured your variables. Discuss your sampling method or inclusion and exclusion criteria , as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on July 4–8, 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyze?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness store’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods.

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Next, you should indicate how you processed and analyzed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analyzing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorizing and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviors, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalized beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalizable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

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.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

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.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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What Is Research Methodology?

I f you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Learn More About Methodology

Triangulation: The Ultimate Credibility Enhancer

Triangulation is one of the best ways to enhance the credibility of your research. Learn about the different options here.

Research Limitations 101: What You Need To Know

Learn everything you need to know about research limitations (AKA limitations of the study). Includes practical examples from real studies.

In Vivo Coding 101: Full Explainer With Examples

Learn about in vivo coding, a popular qualitative coding technique ideal for studies where the nuances of language are central to the aims.

Process Coding 101: Full Explainer With Examples

Learn about process coding, a popular qualitative coding technique ideal for studies exploring processes, actions and changes over time.

Qualitative Coding 101: Inductive, Deductive & Hybrid Coding

Inductive, Deductive & Abductive Coding Qualitative Coding Approaches Explained...

📄 FREE TEMPLATES

Research Topic Ideation

Proposal Writing

Literature Review

Methodology & Analysis

Academic Writing

Referencing & Citing

Apps, Tools & Tricks

The Grad Coach Podcast

199 Comments

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Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

All the best with your research.

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Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

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how do i reference this?

MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

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Lecture Notes on Research Methodology

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Presentation on theme: "Lecture Notes on Research Methodology"— Presentation transcript:

Introduction to Research Methodology

Sabine Mendes Lima Moura Issues in Research Methodology PUC – November 2014.

Today Concepts underlying inferential statistics

Richard M. Jacobs, OSA, Ph.D.

Research Methodology Lecture 1.

Chapter 12 Inferential Statistics Gay, Mills, and Airasian

Sample Design.

Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning,

Magister of Electrical Engineering Udayana University September 2011

Chapter 1: Introduction to Statistics

RESEARCH A systematic quest for undiscovered truth A way of thinking

Research Methodology.

Educational Research: Competencies for Analysis and Application, 9 th edition. Gay, Mills, & Airasian © 2009 Pearson Education, Inc. All rights reserved.

Research Seminars in IT in Education (MIT6003) Quantitative Educational Research Design 2 Dr Jacky Pow.

PROCESSING OF DATA The collected data in research is processed and analyzed to come to some conclusions or to verify the hypothesis made. Processing of.

Academic Research Academic Research Dr Kishor Bhanushali M

Question paper 1997.

Chapter 6: Analyzing and Interpreting Quantitative Data

Module III Multivariate Analysis Techniques- Framework, Factor Analysis, Cluster Analysis and Conjoint Analysis Research Report.

Chapter 7 Measuring of data Reliability of measuring instruments The reliability* of instrument is the consistency with which it measures the target attribute.

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A COURSE IN RESEARCH METHODOLOGY 2018.pptx

This teaching paper is an introdcution to the field of research methodology as it enables beginners (students) to understand basic things about research, research techniques , research design and research procedure. The general aim behind this teaching paper is to facilitate the task of students to tackle this complicated field with confidence and ease.It covers a lot of courses and it can be taught to different levels of students: BA, MA and even PHd students.

Related Papers

Wafae Barkani

Xochitl Ortiz

The authors felt during their several years of teaching experience that students fail to understand the books written on Research Methodology because generally they are written in technical language. Since this course is not taught before the Master’s degree, the students are not familiar with its vocabulary, methodology and course contents. The authors have made an attempt to write it in very non- technical language. It has been attempted that students who try to understand the research methodology through self-learning may also find it easy. The chapters are written with that approach. Even those students who intend to attain high level of knowledge of the research methodology in social sciences will find this book very helpful in understanding the basic concepts before they read any book on research methodology. This book is useful those students who offer the Research Methodology at Post Graduation and M.Phil. Level. This book is also very useful for Ph.D. Course Work examinations.

Anil Jharotia

Research is an important activity of any nation and societies for generating the information to its developments. Robust collection of qualitative information helps in the development of the any nations. Research & Development is an important tool for acquiring new knowledge in any field of human survival. Various type of problems and questions need to use research methodology depend on the rationale of researchers. How to use the research for finding answers of any research questions/problems.

https://www.ijrrjournal.com/IJRR_Vol.6_Issue.3_March2019/Abstract_IJRR0011.html

International Journal of Research & Review (IJRR)

Research methodology is a way to systematically solve the research problem. It may be understood as a science of studying how research is done scientifically. In it we study the various steps that are generally adopted by a researcher in studying his research problem along with the logic behind them. It is necessary for the researcher to know not only the research methods/techniques but also the methodology. Researchers not only need to know how to develop certain indices or tests, how to calculate the mean, the mode, the median or the standard deviation or chi-square, how to apply particular research techniques, but they also need to know which of these methods or techniques, are relevant and which are not, and what would they mean and indicate and why. Researchers also need to understand the assumptions underlying various techniques and they need to know the criteria by which they can decide that certain techniques and procedures will be applicable to certain problems and others will not. All this means that it is necessary for the researcher to design his methodology for his problem as the same may differ from problem to problem.

Scholarly Communication and the Publish or Perish Pressures of Academia A volume in the Advances in Knowledge Acquisition, Transfer, and Management (AKATM) Book Series

Dr. Naresh A . Babariya , Alka V. Gohel

The most important of research methodology in research study it is necessary for a researcher to design a methodology for the problem chosen and systematically solves the problem. Formulation of the research problem is to decide on a broad subject area on which has thorough knowledge and second important responsibility in research is to compare findings, it is literature review plays an extremely important role. The literature review is part of the research process and makes a valuable contribution to almost every operational step. A good research design provides information concerning with the selection of the sample population treatments and controls to be imposed and research work cannot be undertaken without sampling. Collecting the data and create data structure as organizing the data, analyzing the data help of different statistical method, summarizing the analysis, and using these results for making judgments, decisions and predictions. Keywords: Research Problem, Economical Plan, Developing Ideas, Research Strategy, Sampling Design, Theoretical Procedures, Experimental Studies, Numerical Schemes, Statistical Techniques.

Hafizi Saari

Dr. Moses Gweyi

This book is the outcome of more than four decades of experience of the author in teaching and research field. Research is a creative process and the topic of research methodology is complex and varied. The basic premise for writing this book is that research methods can be taught and learnt. The emphasis is on developing a research outlook and a frame of mind for carrying out research. The book presents current methodological techniques used in interdisciplinary research along with illustrated and worked out examples. This book is well equipped with fundamentals of research and research designs. All efforts have been made to present Research, its meaning, intention and usefulness. Focussed in designing of research programme, selection of variables, collection of data and their analysis to interpret the data are discussed extensively. Statistical tools are complemented with examples, making the complicated subject like statistics simplest usable form. The importance of software, like MS Excel, SPSS, for statistical analyses is included. Written in a simple language, it covers all aspects of management of data with details of statistical tools required for analysis in a research work. Complete with a glossary of key terms and guides to further reading, this book is an essential text for anyone coming to research for the first time and is widely relevant across the disciplines of sciences. This book is designed to introduce Masters, and doctoral students to the process of conducting scientific research in the life sciences, social sciences, education, public health, and related scientific disciplines. It conforms to the core syllabus of many universities and institutes. The target audience for this book includes those are going to start research as graduate students, junior researchers, and professors teaching courses on research methods. The book entitled “A guide to Research Methodology for Beginners” is succinct and compact by design focusing only on essential concepts rather than burden students with a voluminous text on top of their assigned readings. The book is structured into the following nine chapters. Chapter-1: What is Scientific Research? Chapter-2: Literature Review Chapter-3: How to develop a Research Questions & Hypotheses Chapter-4: Research Methods and the Research Design Chapter-5: Concept of Variables, Levels and Scales of Measurements for Data collection Chapter-6: Data Analysis, Management and Presentation Chapter-7: Tips for Writing Research Report Chapter-8: Glossary Related to Research Methodology Chapter-9: References It is a comprehensive and compact source for basic concepts in research and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. The target audience for this book includes those are going to start research as graduate students, junior researchers, and professors teaching courses on research methods.

Yuanita Damayanti

Khamis S Moh'd

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Research Presentation PowerPoint Template

The Research Presentation PowerPoint Template is a professional slide deck for presenting a thorough overview of the research, including methodologies, theories under consideration, and the findings. A research presentation is essential to showcase the key findings of your project with the team and stakeholders. In a research project, professionals begin with creativity, which includes looking into the already existing concepts & theories that can become a starting point for the process. Next, it involves designing the research methodologies and an actionable protocol to get an accurate estimation of the results. Once the findings have been made, professionals can present this data in an organized form in journals and online platforms. It may be science, medicine, business, or real estate; the research is carried out in every field. In this PowerPoint template , we have added visuals corresponding to biological, medical research. However, presenters can re-purpose these slides by replacing the placeholder images with the required presentation graphics. 

This Research Presentation PowerPoint Template starts with a title slide to mention the presentation or research topic, contributing speakers, and members. Following is an agenda slide with a table chart for mentioning the discussion points in the presentation. A dark and simple theme is applied on these slides, and a catchy look is created by adding a transparency effect to the tables and text boxes. The images added in the background can be replaced based on the topic. After the agenda slide, this PPT slide deck includes the slides for:

• Introduction
• Problem Statement
• Research Questions
• Conceptual Research Framework (Concepts, Theories, Actors, & Constructs)
• Study design and methods
• Population & Sampling
• Data Collection
• Data Analysis

By presenting this data before the audience, users can cover every aspect of the research project. The text boxes on the slides carry editable text that can be customized accordingly. Professionals can change the hierarchy of flowcharts, such as on actors and sampling slides. An ending thank you slide is also included that can carry contact and additional information for research. So, download and try editing this doctorate research presentation template and simplify presenting your findings. Also, try our Ph.D. thesis presentation PPT for designing meaningful and appealing presentations!

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Research Methodology

Aug 20, 2014

2.77k likes | 6.88k Views

Research Methodology. Introduction to Research Methodology. Stages of Research Project. Chapter 1: Introduction Chapter 2: Literature Review Chapter 3: Methodology Chapter 4: Data Analysis and Interpretation of Findings Chapter 5: Discussion and conclusion. Why do we research?.

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• highest contributor
• human resource managers
• data collection
• better employees job satisfaction
• direct relationship
• adequate solutions

Presentation Transcript

Research Methodology Introduction to Research Methodology

Stages of Research Project • Chapter 1: Introduction • Chapter 2: Literature Review • Chapter 3: Methodology • Chapter 4: Data Analysis and Interpretation of Findings • Chapter 5: Discussion and conclusion

Why do we research? • To acquire information/knowledge • Research – a particular way of knowing • Emphasis on systematic investigation • Scientific method- collecting observations in a systematic and objective manner • Identify problem • Generate Objectives/hypotheses/RQ • Collect data • Determine whether or not the hypotheses are supported. • Researches that use non-scientific method • Historical, etnography

Types of researches (by purpose) • Basic research (Fundamental Research) • Concerned with fundamental and theoretical questions. • A foundation upon which others can develop applications and solutions • while basic research may not appear to be helpful in the real world, it can direct us toward practical applications in the long run. • E.g. A study on job rotation impact (positive and negative impact) on employees.

Applied research • concerned with finding solutions to practical problems and putting these solutions to work in order to help others • E.g. Action Research on Best Job Rotation practices for Academic Institution

Chap.1: Introduction • Research Introduction and background • Problem statement • Objectives (main & specific objective) • Hypotheses or research questions • Theoretical/conceptual framework (quantitative only) • Variables definition (quantitative only) • Definition of terms (include operational definition) • Contribution/Significance/important of research • Limitation of research

Choosing a research topic • 2 things to be considered • Level of interest • Topic of interest will motivate one to do research on it • Choosing the wrong topic – you might end up or fail to discover some interesting value. • Feasibility • Your capability to complete a research conducted – e.g. data collection and analysis, report writing • Always take a research as you want to unveil a mystery

Getting ideas for researchers • Yourself (observation on a particular phenomena/experiences) • Discussion with expert in the field • Journal articles • Academic books (based on research work) • Proceeding and conference papers • Thesis, dissertation, final year project • Organizational Report (e.g statistic) • Others (Internet, Newspapers/magazines

Preparing a Problem Statement • A problem statement is a clear concise description of the issues (or problems) that need to be addressed by a researcher. • The primary purpose of a problem statement is to focus the attention of the researcher. • A research-worthy problem statement is the description of an active challenge (i.e. problem) faced by a researcher that does not have adequate solutions or theoretical foundation. • Should briefly address the question: What is the problem that the research will address?

More… • Define a problem or a gap that need to be researched to find a solution • Justify the need for a research • These gaps are discovered through journal articles (refer to limitations or suggestions in journal articles) • Sometimes a problem is discovered through: • personal experience of a researcher or a research sponsor • phenomena that happens around us.

Example of a problem statement • No known study that has looked into this specific topic. - exploratory research • There are only few studies that address this issue but most of the studies were done in Western countries especially in the United States(Mueller, 1998; Adruce, 2002; Adam, 2008) – Confirmatory research • There are several research works in this specific area but the findings are not consistent. Therefore, there is a need to do further research in this area – Confirmatory research

Continue … • There are several research works that have looked into a direct relationship between smoking habit and cancer; however, no known research has specifically looked into a mediator/moderator effect of a third variable (types of food consumed) • This incident (eg. Tsunami) has never happened in Malaysia, therefore, there is a need to study the post Tsunami effects in the affected region of Malaysia. • Most of the previous research in this area were done using qualitative method; therefore, there is a need to use quantitative/experimental method to test the preposition/ hypothesis.

Continue • Most of the previous research in this area were done using quantitative method; therefore, there is a need to use qualitative/experimental method to validate the findings.

How to prepare the Objective for the study • Based on the Problem Statement mentioned earlier • It is a statement that explains what the study will focus on • There are two types of objective • Main (This study is interested in studying the employees behavior related to job rotation amongst support staff) • Specific (to study the relation ship between job rotation and job satisfaction)

Hypothesis or research question • The purpose is to refine the objective of the study and make it easier to understand what we want to study • When to use Hypothesis or research question • Phenomena has been studied before and to test the findings we use hypotheses testing (e.g There is a relationship between job rotation and job satisfaction) • If no known study has been done in that specific area we should use research question instead (e.g Is there any relationship between job rotation and job satisfaction? • When can we use hypothesis even if there is no know research done in a specific area? • Experimental research

Theoretical/conceptual framework • Only to be used in quantitative study. • There is no need for theoretical/conceptual framework in a Qualitative study

Employees Satisfaction Based on Maslow Hierarchy of Needs Thory Basic Needs (Salary, Benefits) Job Satisfaction Job Security Peer Support

Hypothesis • There is a relationship between Basic Needs and Employees Job Satisfaction • Better Job Security will result in Better Employees Job Satisfaction • There is a relationship between work environment and employees job Satisfaction • RQ if there is no hypothesis • Which of the above factors rank the highest contributor to job satisfaction?

Successful Organization Based on Systems Theory Employees Performance External Environment Management Capability Organization Performance Services Provided

Definition of Terms used in your study • Dictionary definition • Defined by dictionary • Operational definition • An operational definition defines something (e.g. a variable, term, or object) in terms of the specific process or set of validation tests used to determine its presence and quantity.

Continue… • Theoretical Definition • A theoretical definition relies on the acceptance of theories and so it does not simply reduce to a set of observationsLike the theories that build them, theoretical definitions also improve as scientific understanding grows

Research Contribution • Contributions • theory/concept/model/hypothesis/proposition or knowledge in the field • Methodology • Research Framework (statement of problem, objective, hypothesis, research question) • Instrument (questionnaire, interview guide, observation guide etc.) • Data Collected • Data Analysis Framework • Practitioner and community

Contribution toward theory and knowledge • This study is expected to contribute toward a theory (e.g. diffusion of innovation) related to the use of technology in organization because findings from previous studies implicate lack of consistencies either in supporting or refuting the theory. • Use of ICT in organization is a developing area and not many studies have really studied Malaysian organizations pertaining to their employees usage of ICT

Contribution toward Methodology • Since not many research were done in this area before, the Research Framework (statement of problem, objective, Hypothesis and Research Questions) use in this study could be use by future researcher who wanted to replicate this study. • The Instrument (questionnaire, interview guide, observation guide etc.) used in this research could be used for future research in the same area.

Contribution toward Practitioner and community • Findings from this research especially on the office and environmental factors that ensure success in job rotation should be a good guide to Human Resource Managers. • Finding from this research should also inform the community of employees in the organization on the important of office and environmental factors to ensure success in job rotation practices.

Limitation of the Study • Topical/subject/field limitation (limited to study of HRD and not on Psychology or management aspect of human resource) • Methodological limitation (Data collection method) • Population and Sample • Time Frame • Area/place of research • Resources Limitation (for example Literature Review is limited to Emerald online database)

Chap. 2:Literature Review • Gather all related and relevant findings from previous studies. • Introduction to the Chapter • Discussion on Theories, models, concepts and philosophy related to the research • Discussion on previous studies related to the topics. Guided by the specific objectives in the study. • Summary of the chapter

What is a Lit Review • What it is not • Not an essay • Not just a mere summary or annotated bibliography or abstract • What it is • Reflection of previous studies • Improve understanding on topic of interest • Status of works done in similar area • Updating you on what have been done in the past

How to do a Literature Review • Locate all related Previous Works on same topic to update you on what have been done. • Highlight the status of Previous research and finding Gaps or opportunities (availability, strength, weaknesses) • Uncertainties and doubts in previous findings • Limitations of previous studies that need to be dealt with • Methodological limitation • Geographical location • Time factor

Chap. 3:Methodology • Research Framework (Qualitative, Quantitative or Experimental) • Place and time of study • Population under study • Unit of analysis • Sample/respondent/informant (qualitative) • Sampling method and sampling framework • Method of Data Collection • Survey using Questionnaire (quantitative) • Interview (qualitative) • Document Analysis • Observation Technique • Determining method of data collection for each objective/research question/hypothesis

Methodology… continue • Research Instrument • Pre-Test and pilot test (quantitative) • Validity and reliability issues • Equipments (video, audio recorder etc.) to be used during data collections • Consent Form • Research Schedules and Timelines

Research Framework • Quantitative (mostly using Deductive Reasoning) - Confirmatory • to research questions that are best answered by collecting and analyzing numerical data (using statistical) • Qualitative (mostly using inductive Reasoning) – Exploratory • Mixed Method – Qualitative and Quantitative • To research questions that are best answered by giving descriptions on how one understand and interpret various aspects in their surroundings • Experimental (mostly using Deductive Reasoning) – Looking at Cause & Effect

Place and Time of Study • To be determined – provide justification • Determined also time to conduct the study because both place and time could determine the outcome of the study

Population and Sample • Determine the population where the study will be conducted • Identify the unit of analysis (individual or group) • Determine the sampling method (simple random method, cluster, stratified, systematic, purposeful/convenient, snow balling etc.) to be used and design the sampling framework

Main types of research methodologies • Survey - Quantitative • Experimental – Quantitative, Qualitative • Correlation - Quantitative • Case study – Quantitative, Qualitative • Historical - Qualitative • Ethnography – Qualitative

Chap. 4 Data Analysis and Interpretation • Present your analysis of data – summarize the relevant findings that are crucial to your study.

Chap. 5 Discussion • Interpret your data to meaningful information that is understandable. • Discussion and comparison with previous studies (focusing on similarities or differences in term of result)

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Research Methodology PPT | Presentation | PDF

Research Methodology PPT |Presentation | PDF: Generally, research is a search for apprehension and research is also explained as a systematic search and a scientific search for data on a particular topic. In other words, research is also called as a skill of scientific investigation. It is a technical term and an academic activity which collects information, organize information and evaluate information. Well, research is a genuine contribution to the present apprehension for its development.

Objectives of Research:

Research discover solutions to problems by applying the procedures of science, the important objective of the research is to discover the hidden truth. Distinct studies of research have distinct objectives and few common objectives are as follows:

• The foremost objective is to achieve thorough knowledge and also understanding with an observed circumstance.
• The second one is to define the frequency of distinct things.
• The next is to test a statement which is assumed to be genuine and that statement is about the casual relationship between variables.
• The last one is to accurately describe the characteristics of a specific individual or a group or a situation.

Research Proposal PPT: Definition and Components

Types of Research:

There are five important types of research and those are as follows:

• Descriptive vs. Analytical
• Applied vs. Fundamental
• Quantitative vs. Qualitative
• Conceptual vs. Empirical
• Few other types of research
• Descriptive vs. Analytical: the surveys and fact-finding investigations of distinct types come under descriptive research. In analytical research, a researcher has to avail data which already exists and has to make an accurate evaluation.
• Applied vs. Fundamental: the objectives of the applied research are to search an answer for the difficulty which is facing by a firm or a society. Theory’s formulation and interference of general principles with particulars are related to fundamental research. The feature of collecting knowledge for the sake of knowledge is best suited to fundamental research.
• Quantitative vs. Qualitative: quantitative measurement of few characteristics which are explained in quantities is nothing but the quantitative research. Well, qualitative research is related to the parameter of quality.

Fig1: Qualitative Information Collections Tools

Fig2: Quantitative Information Collection Tools

 4. Conceptual vs. Empirical: the conceptual research is concerned with ideas and theories. Empirical research is perfect when we have the proof which explains that few variables generate a change on other variables in some way or the other.

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 5. Few other types of research: Other research type includes few changes when compared with the types of research explained above and those changes occur by depending on the current conditions. So, in this category we can think of the following research:

• Longitudinal research
• Laboratory research
• Simulation research
• Diagnostic research
• Historical research

The Significance of Research:

Few vital avenues of research are as follows:

• The foremost importance of research is that the research on present concepts and theories aid to recognize the applications and range of them.
• It furnishes guidelines for solving difficulties.
• It plays a vital role in business and in industries to increase gain and productivity and also to enhance the quality of goods.
• It leads to the recognizing of modern materials, modern living things and much more.
• The social research aids in searching solutions to social difficulties.
• Research leads to the modern lifestyle and fills it with glory and happiness.

Marketing Research Seminar pdf Report and ppt

Research Methodology:

Research methodology is nothing but a systematic way of solving a difficulty. It is the science which studies about carried out procedures of research like describing the research work, explaining the research work and also predicting. All these parameters together are called as a research methodology. It is also explained as a method of study through which we can gain knowledge. Its main objective is to give a work plan about research.

The Importance of Research Methodology:

Designing a methodology is necessary for the difficulty which is going to be solved and the researcher has to do this thing. Research methodology is important because researcher should not only know about the problem but also about the method of solving it. The below points explain us the role of methodology in solving the difficulty, they are:

• It aids in selecting the best method to solve the problem.
• It tells about the output of selected method and its accuracy.
• It aids in knowing the efficiency of the method.

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Various Stages of Research:

The various stages involved in research are as below:

• Selecting the topic of research
• Explaining the research problem
• Survey of literature
• Reference collection
• Assessment of present status of selected topic
• Hypotheses and its formulation
• Design of research
• Real investigation
• Analysis of information
• Result’s interpretation
• Report of research

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  Content of PDF for Research Methodology PPT Presentation

• Introduction
• What is Research Methodology
• Research Methods
• Data Analysis Methods 
• Why do research?
• Nature of Research
• What is ‘not’ Research?
• Stages of the research process
• Disadvantages

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Research Methods Lesson

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A Level Sociology Research Methods: Choosing Research Methods

Subject: Sociology

Age range: 16+

Resource type: Lesson (complete)

Last updated

13 September 2024

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A Level Sociology Research Methods: Choosing Research Methods. First lesson to be delivered to students to understand and grasp the unit of research methods. This powerpoint is a a complete lesson which explains to students the foundation knowledge:

• Different sociological methods of research
• Concepts of practical, ethical and theoretical issues involved with research methods

This is a lesson can be used by specialist and non-specialist sociology teachers. It has a range of activities to test and consolidate students learning.

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Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

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• Published: 13 September 2024

Research ethics matter

Nature Methods volume  21 ,  page 1569 ( 2024 ) Cite this article

Metrics details

• Biological sciences
• Biological techniques
• Institutions
• Research management

All life sciences research is potentially subject to ethical considerations. Institutions should support collaborations with professional ethicists and philosophers to help life scientists navigate ethical crossroads.

For scientists working with animals, human data or stem cells, or collecting ecological data in resource-poor settings, the ethical considerations of their research are something they must grapple with regularly. For those working at the molecular or cellular level or purely in silico, however, their experiences with ethics may be limited to a brief training course mainly covering issues of data manipulation and plagiarism.

Many molecular, cellular and computational biologists may think that research ethics — that is, whether the scientific questions being explored are ethical to pursue, whether the approaches used to pursue such questions are ethical, and whether the communication of that research is ethical — just do not apply to their work. But in this issue of Nature Methods , a Comment from Jeantine Lunshof and Julia Rijssenbeek 1 implores life scientists of all stripes to integrate discussions with professional ethicists and philosophers into the research planning process.

For some research fields, ethical guidelines are readily available. Research on human subjects — for example, the use of fMRI to study alterations to brain connectivity networks in disease — must be approved by ethics committees (in accordance with the Declaration of Helsinki ), and such subjects must provide informed consent. Experiments with lab mice must also be preapproved by an ethics committee, and researchers should follow the ARRIVE reporting guidelines 2 , as well as the American Veterinary Medical Association guidelines for animal euthanasia. Developmental biologists working with human embryos should abide by ethics guidelines set by the International Society for Stem Cell Research . Ecologists collecting data in the global South are encouraged to follow the TRUST Code recommendations — in particular, by including local researchers in the work.

There are many areas of life sciences research, however, where research does not require ethics oversight and ethics guidelines are not readily available, but where ethical considerations may yet be important. There are likely several examples of methodologies and tools that, in the wrong hands, may lead to harmful gain-of-function experiments or dual-use threats to public health or national security. A molecular biologist tinkering to improve genome editing tools would be wise to ponder the implications of the unethical use of the technology for human germline editing, as in the ‘CRISPR babies’ case 3 . Computational biologists using AI technology for drug discovery need to be aware that such models could be misused to design biochemical weapons 4 .

In their Comment, Lunshof and Rijssenbeek describe a model called ‘collaborative ethics’, which calls for life sciences researchers to work closely with professional ethicists or philosophers starting at the earliest stages of research planning. As they write, collaboration can “improve the efficiency and robustness of outcomes” for the research team and also “prepare a team for a formal ethics review and criticism after publication.” Such collaborations also benefit the field of philosophy, “as direct involvement with the sciences allows long-held assumptions and arguments to be put to the test.”

In the collaborative ethics model, a research team will discuss their ideas and concepts with a professional ethicist or philosopher, who may ask probing questions about the nature of the work. The ethicist will help the researchers understand whether there are any ethical considerations and whether the potential harms of sharing the resulting new knowledge with society outweigh the potential benefits of advancing science. Lunshof and Rijssenbeek highlight how the collaborative ethics model played a role in three different projects: the engineering of synthetic human entities with embryo-like features, the development of brain organoids and the programming of computer-designed ‘biobots’. They note that collaborative ethics may also have a role to play in many other fields, such as protein engineering, systems biology, aging research and computational biology.

As described in our journal policy , performing ethical research is the responsibility of all scientists. Professional ethicists are not the police; their role is not to punish or curb scientific progress. Rather, ethicists can serve as a ‘conscience’ and help scientists understand the ethical implications of their work. Without such collaborations, the after-the-fact consequences could be much worse — yes, papers can be retracted, but reputations are already damaged and harmful gain-of-function work may be out there for the world to see.

For scientists used to dealing with quantitative measures and statistical significance, the concept of research ethics can feel a bit vague or murky, at best an afterthought to their work. This is even more a reason for breaking down the walls between science and ethics, especially in this age of rapid technology development and especially with swift advances in AI. We strongly encourage institutions to go beyond minimal ethics training courses and do much more to support close collaborations between scientists and professional ethicists.

Lunshof, J. E. & Rijssenbeek, J. https://doi.org/10.1038/s41592-024-02320-8 (2024).

Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M. & Altman, D. G. PLoS Biol. 8 , e1000412 (2010).

Article   PubMed   PubMed Central   Google Scholar  

Cyranoski, D. & Ledford, H. Nature 563 , 607–608 (2018).

Article   CAS   PubMed   Google Scholar  

Urbina, F., Lentzos, F., Invernizzi, C. & Ekins, S. Nat. Mach. Intell. 4 , 189–191 (2022).

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Research ethics matter. Nat Methods 21 , 1569 (2024). https://doi.org/10.1038/s41592-024-02425-0

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Published : 13 September 2024

Issue Date : September 2024

DOI : https://doi.org/10.1038/s41592-024-02425-0

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