Her mother took care of her grandmother, and my mother took care of my grandmother and both took care of her mother, both had some help taking care of my dad when he was sick, and I know that it was inbred in me, not really inbred, but something I saw; you follow suit by example. SalTI, p. 9
Note . SES = socioeconomic status.
Reading from the left in Table 2 , codes were given a number and letter for use in marking sections of text. Next, the code name indicating a theme was entered in boldface type with a definition in the code immediately under it. The second column provided an exemplar of each code, along with a notation indicating where it was found in the data, so that coders could recognize instances of that particular code when they saw them.
The coding manual was tested against data gathered in a preliminary study and was revised as codes found to overlap or be missing entirely. We continued to revise it iteratively during the study as data collection and analysis proceeded and then used it to recode previously coded data. Using this procedure, it was used to revisit the data several times.
Level 1 Coding With Meaning Units.
Original text (meaning unit highlighted in relation to applied code) | Code(s) applied to meaning unit |
---|---|
I try to eat well. My wife seems to do a good job with that stuff and everything. I am fairly active around the house and stuff | |
I’ve recently become semi-retired, so even though retirement means like relaxation, it really hasn’t. It has just given me more work to do around the house and stuff, and again, having children of my own, basically, I not only have a honey-do list from wife, I have a honey-do list for my two charming daughters | |
Again too, I’d like to be around as long as possible. I enjoy life. I try to enjoy it to the fullest. I’d like to be—I want to live life. I don’t want survive, I guess is what I’d say. I’ve seen too many instances of this. My mother-in-law is a prime example. She is in an assisted-living facility, and I really think she’s just about, I don’t want to say given up and stuff, but she’s not living. She is surviving. I think that’s sad. I really do. I think you are going to get out of life what you put into life. I think if she would put a little more effort into life, her life would be a lot more fulfilling and rewarding to her and basically to people around her | |
Example of an analytic memo used in qualitative description analysis.
Data Matrix.
Case | CLOX-CG | CLOX-CR | CG Vigilance Scale | CG Strain | CG Gain |
---|---|---|---|---|---|
1 | 5 ( ) | 1 ( ) | 20 hr/wk ( ) | Moderate: fatigue and moderate anxiety | Moderate: Giving back to mom |
2 | 3 ( ) | 1 ( ) | 30 hr/wk ( ) | High: debilitating fatigue, high anxiety, feels depressed, and sleeplessness | Low: Unable to see positive aspects |
Note . The CLOX is an executive clock drawing task that tests cognition and was used in this study with the caregiver (CG) and the care recipient (CR). The CG Strain and the CG Gain scores were derived by the researcher through a qualitative content analysis ( Evans, Coon, & Belyea, 2006 ).
Many qualitative researchers do not provide enough information in their reports about the analytic strategies used to ensure verisimilitude or the “ring of truth” for the conclusions. Miles, Huberman, and Saldana (2014) outline 13 tactics for generating meaning from data and another 13 for testing or confirming findings. They also provide five standards for assessing the quality of conclusions. The techniques relied upon most heavily during a qualitative descriptive study ought to be addressed within the research report. It is important to establish “trustworthiness” and “authenticity” in qualitative research that are similar to the terms validity and reliability in quantitative research. The five standards (objectivity, dependability, credibility, transferability, and application) typically used in qualitative descriptive studies to assess quality and legitimacy (trustworthiness and authenticity) of the conclusions are discussed in the next sections ( Lincoln & Guba, 1985 ; Miles et al., 2014 ).
First, objectivity (confirmability) is conceptualized as relative neutrality and reasonable freedom from researcher bias and can be addressed by (a) describing the study’s methods and procedures in explicit detail, (b) sharing the sequence of data collection, analysis, and presentation methods to create an audit trail, (c) being aware of and reporting personal assumptions and potential bias, (d) retaining study data and making it available to collaborators for evaluation.
Second, dependability (reliability or auditability) can be fostered by consistency in procedures across participants over time through various methods, including the use of semistructured interview questions and an observation data collection worksheet. Quality control ( Miles et al., 2014 ) can be fostered by:
Third, credibility or verisimilitude (internal validity) is defined as the truth value of data: Do the findings of the study make sense ( Miles et al., 2014 , p. 312). Credibility in qualitative work promotes descriptive and evaluative understanding, which can be addressed by (a) providing context-rich “thick descriptions,” that is, the work of interpretation based on data ( Sandelowski, 2004 ), (b) checking with other practitioners or researchers that the findings “ring true,” (c) providing a comprehensive account, (d) using triangulation strategies, (e) searching for negative evidence, and (f) linking findings to a theoretical framework.
Fourth, transferability (external validity or “fittingness”) speaks to whether the findings of your study have larger import and application to other settings or studies. This includes a discussion of generalizability. Sample to population generalizability is important to quantitative researchers and less helpful to qualitative researchers who seek more of an analytic or case-to-case transfer ( Miles et al., 2014 ). Nonetheless, transferability can be aided by (a) describing the characteristics of the participants fully so that comparisons with other groups may be made, (b) adequately describing potential threats to generalizability through sample and setting sections, (c) using theoretical sampling, (d) presenting findings that are congruent with theory, and (e) suggesting ways that findings from your study could be tested further by other researchers.
Finally, Miles et al. (2014) speak to the utilization, application, or action orientation of the data. “Even if we know that a study’s findings are valid and transferable,” they write, “we still need to know what the study does for its participants and its consumers” ( Miles et al., 2014 , p. 314). To address application, findings of qualitative descriptive studies are typically made accessible to potential consumers of information through the publication of manuscripts, poster presentations, and summary reports written for consumers. In addition, qualitative descriptive study findings may stimulate further research, promote policy discussions, or suggest actual changes to a product or environment.
The qualitative description clarified and advocated by Sandelowski (2000 , 2010 ) is an excellent methodological choice for the healthcare environments designer, practitioner, or health sciences researcher because it provides rich descriptive content from the subjects’ perspective. Qualitative description allows the investigator to select from any number of theoretical frameworks, sampling strategies, and data collection techniques. The various content analysis strategies described in this paper serve to introduce the investigator to methods for data analysis that promote staying “close” to the data, thereby avoiding high-inference techniques likely challenging to the novice investigator. Finally, the devotion to thick description (interpretation based on data) and flexibility in the re-presentation of study findings is likely to produce meaningful information to designers and healthcare leaders. The practical, step-by-step nature of this article should serve as a starting guide to researchers interested in this technique as a way to answer their own burning questions.
The author would like to recognize the other members of her dissertation committee for their contributions to the study: Gerri Lamb, Karen Dorman Marek, and Robert Greenes.
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research assistance for data analysis and manuscript development was supported by training funds from the National Institutes of Health/National Institute on Nursing Research (NIH/NINR), award T32 1T32NR012718-01 Transdisciplinary Training in Health Disparities Science (C. Keller, P.I.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the NINR. This research was supported through the Hartford Center of Gerontological Nursing Excellence at Arizona State University College of Nursing & Health Innovation.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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Descriptive research is a study of status and is widely used in education, nutrition, epidemiology, and the behavioral sciences. Its value is based on the premise that problems can be solved and practices improved through observation, analysis, and description. The most common descriptive research method is the survey, which includes questionnaires, personal interviews, phone surveys, and normative surveys. Developmental research is also descriptive. Through cross-sectional and longitudinal studies, researchers investigate the interaction of diet (e.g., fat and its sources, fiber and its sources, etc.) and life styles (e.g., smoking, alcohol drinking, etc.) and of disease (e.g., cancer, coronary heart disease) development. Observational research and correlational studies constitute other forms of descriptive research. Correlational studies determine and analyze relationships between variables as well as generate predictions. Descriptive research generates data, both qualitative and quantitative, that define the state of nature at a point in time. This chapter discusses some characteristics and basic procedures of the various types of descriptive research.
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Koh, E.T., Owen, W.L. (2000). Descriptive Research and Qualitative Research. In: Introduction to Nutrition and Health Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1401-5_12
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Definition:
Descriptive research design is a type of research methodology that aims to describe or document the characteristics, behaviors, attitudes, opinions, or perceptions of a group or population being studied.
Descriptive research design does not attempt to establish cause-and-effect relationships between variables or make predictions about future outcomes. Instead, it focuses on providing a detailed and accurate representation of the data collected, which can be useful for generating hypotheses, exploring trends, and identifying patterns in the data.
Types of Descriptive Research Design are as follows:
This involves collecting data at a single point in time from a sample or population to describe their characteristics or behaviors. For example, a researcher may conduct a cross-sectional study to investigate the prevalence of certain health conditions among a population, or to describe the attitudes and beliefs of a particular group.
This involves collecting data over an extended period of time, often through repeated observations or surveys of the same group or population. Longitudinal studies can be used to track changes in attitudes, behaviors, or outcomes over time, or to investigate the effects of interventions or treatments.
This involves an in-depth examination of a single individual, group, or situation to gain a detailed understanding of its characteristics or dynamics. Case studies are often used in psychology, sociology, and business to explore complex phenomena or to generate hypotheses for further research.
This involves collecting data from a sample or population through standardized questionnaires or interviews. Surveys can be used to describe attitudes, opinions, behaviors, or demographic characteristics of a group, and can be conducted in person, by phone, or online.
This involves observing and documenting the behavior or interactions of individuals or groups in a natural or controlled setting. Observational studies can be used to describe social, cultural, or environmental phenomena, or to investigate the effects of interventions or treatments.
This involves examining the relationships between two or more variables to describe their patterns or associations. Correlational studies can be used to identify potential causal relationships or to explore the strength and direction of relationships between variables.
Descriptive research design data analysis methods depend on the type of data collected and the research question being addressed. Here are some common methods of data analysis for descriptive research:
This method involves analyzing data to summarize and describe the key features of a sample or population. Descriptive statistics can include measures of central tendency (e.g., mean, median, mode) and measures of variability (e.g., range, standard deviation).
This method involves analyzing data by creating a table that shows the frequency of two or more variables together. Cross-tabulation can help identify patterns or relationships between variables.
This method involves analyzing qualitative data (e.g., text, images, audio) to identify themes, patterns, or trends. Content analysis can be used to describe the characteristics of a sample or population, or to identify factors that influence attitudes or behaviors.
This method involves analyzing qualitative data by assigning codes to segments of data based on their meaning or content. Qualitative coding can be used to identify common themes, patterns, or categories within the data.
This method involves creating graphs or charts to represent data visually. Visualization can help identify patterns or relationships between variables and make it easier to communicate findings to others.
This method involves comparing data across different groups or time periods to identify similarities and differences. Comparative analysis can help describe changes in attitudes or behaviors over time or differences between subgroups within a population.
Descriptive research design has numerous applications in various fields. Some of the common applications of descriptive research design are:
Here are some real-time examples of descriptive research designs:
To conduct a descriptive research design, you can follow these general steps:
Descriptive research design is used in situations where the researcher wants to describe a population or phenomenon in detail. It is used to gather information about the current status or condition of a group or phenomenon without making any causal inferences. Descriptive research design is useful in the following situations:
The main purpose of descriptive research design is to describe and measure the characteristics of a population or phenomenon in a systematic and objective manner. It involves collecting data that describe the current status or condition of the population or phenomenon of interest, without manipulating or altering any variables.
The purpose of descriptive research design can be summarized as follows:
Descriptive research design has several key characteristics that distinguish it from other research designs. Some of the main characteristics of descriptive research design are:
Descriptive research design has several advantages that make it a popular choice for researchers. Some of the main advantages of descriptive research design are:
Descriptive research design also has some limitations that researchers should consider before using this design. Some of the main limitations of descriptive research design are:
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The brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches to capturing phenomena not easily measured quantitatively, offering exciting, nimble opportunities to gather in-depth qualitative data.
This book offers a no-nonsense, step-by-step approach to qualitative research in psychology and related fields, presenting principles for using a generic approach to descriptive-interpretive qualitative research. Based on more than 50 years of combined experience doing qualitative research on psychotherapy, the authors offer an overarching framework of best research practices common to a wide range of approaches.
Even for experienced researchers, selecting and correctly applying the right method can be challenging. In this groundbreaking series, leading experts in qualitative methods provide clear, crisp, and comprehensive descriptions of their approach, including its methodological integrity, and its benefits and limitations.
Each book includes numerous examples to enable readers to quickly and thoroughly grasp how to leverage these valuable methods.
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Appendix. Example Studies
Robert Elliott, PhD, is professor of counselling at the University of Strathclyde. He received his doctorate in clinical psychology from the University of California, Los Angeles, and is professor emeritus of psychology at the University of Toledo (Ohio). He has spent most of his career as a psychotherapy researcher trying out and inventing different research methods.
He is co-author of Facilitating Emotional Change (1993), Learning Process-Experiential Psychotherapy (2004), Research Methods in Clinical Psychology (3rd ed., 2015), as well as more than 170 journal articles and book chapters.
He is past president of the Society for Psychotherapy Research and previously co-edited the journals Psychotherapy Research and Person-Centered and Experiential Psychotherapies .
Ladislav Timulak, PhD, is an associate professor at Trinity College Dublin, Ireland. He is course director of the Doctorate in Counselling Psychology course. Ladislav (or Laco for short; read Latso) is involved in the training of counselling psychologists and various psychotherapy trainings in Ireland and internationally. Laco is both an academic and a practitioner.
He is interested in research methodology and psychotherapy research, particularly the development of emotion-focused therapy. He has written six books, over 80 peer-reviewed papers, and various chapters in both his native language, Slovak, and in English.
He serves on various editorial boards and in the past served as a co-editor of Counselling Psychology Quarterly .
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Objective: The purpose of this methodology paper is to describe an approach to qualitative design known as qualitative descriptive that is well suited to junior health sciences researchers because it can be used with a variety of theoretical approaches, sampling techniques, and data collection strategies.
Background: It is often difficult for junior qualitative researchers to pull together the tools and resources they need to embark on a high-quality qualitative research study and to manage the volumes of data they collect during qualitative studies. This paper seeks to pull together much needed resources and provide an overview of methods.
Methods: A step-by-step guide to planning a qualitative descriptive study and analyzing the data is provided, utilizing exemplars from the authors' research.
Results: This paper presents steps to conducting a qualitative descriptive study under the following headings: describing the qualitative descriptive approach, designing a qualitative descriptive study, steps to data analysis, and ensuring rigor of findings.
Conclusions: The qualitative descriptive approach results in a summary in everyday, factual language that facilitates understanding of a selected phenomenon across disciplines of health science researchers.
Keywords: qualitative analysis; qualitative descriptive; qualitative design; qualitative methodology; rigor.
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Descriptive research is a common investigatory model used by researchers in various fields, including social sciences, linguistics, and academia.
Read on to understand the characteristics of descriptive research and explore its underlying techniques, processes, and procedures.
Dovetail streamlines analysis to help you uncover and share actionable insights
Descriptive research is an exploratory research method. It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.
As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses . This can be reported using surveys , observational studies, and case studies. You can use both quantitative and qualitative methods to compile the data.
Besides making observations and then comparing and analyzing them, descriptive studies often develop knowledge concepts and provide solutions to critical issues. It always aims to answer how the event occurred, when it occurred, where it occurred, and what the problem or phenomenon is.
The following are some of the characteristics of descriptive research:
Descriptive research can be quantitative as it gathers quantifiable data to statistically analyze a population sample. These numbers can show patterns, connections, and trends over time and can be discovered using surveys, polls, and experiments.
Descriptive research can also be qualitative. It gives meaning and context to the numbers supplied by quantitative descriptive research .
Researchers can use tools like interviews, focus groups, and ethnographic studies to illustrate why things are what they are and help characterize the research problem. This is because it’s more explanatory than exploratory or experimental research.
Descriptive research differs from experimental research in that researchers cannot manipulate the variables. They are recognized, scrutinized, and quantified instead. This is one of its most prominent features.
Descriptive research is a cross-sectional study because it examines several areas of the same group. It involves obtaining data on multiple variables at the personal level during a certain period. It’s helpful when trying to understand a larger community’s habits or preferences.
Descriptive studies are usually carried out in the participants’ everyday environment, which allows researchers to avoid influencing responders by collecting data in a natural setting. You can use online surveys or survey questions to collect data or observe.
You can further dissect descriptive research’s outcomes and use them for different types of investigation. The outcomes also serve as a foundation for subsequent investigations and can guide future studies. For example, you can use the data obtained in descriptive research to help determine future research designs.
There are three basic approaches for gathering data in descriptive research: observational, case study, and survey.
You can use surveys to gather data in descriptive research. This involves gathering information from many people using a questionnaire and interview .
Surveys remain the dominant research tool for descriptive research design. Researchers can conduct various investigations and collect multiple types of data (quantitative and qualitative) using surveys with diverse designs.
You can conduct surveys over the phone, online, or in person. Your survey might be a brief interview or conversation with a set of prepared questions intended to obtain quick information from the primary source.
This descriptive research method involves observing and gathering data on a population or phenomena without manipulating variables. It is employed in psychology, market research , and other social science studies to track and understand human behavior.
Observation is an essential component of descriptive research. It entails gathering data and analyzing it to see whether there is a relationship between the two variables in the study. This strategy usually allows for both qualitative and quantitative data analysis.
A case study can outline a specific topic’s traits. The topic might be a person, group, event, or organization.
It involves using a subset of a larger group as a sample to characterize the features of that larger group.
You can generalize knowledge gained from studying a case study to benefit a broader audience.
This approach entails carefully examining a particular group, person, or event over time. You can learn something new about the study topic by using a small group to better understand the dynamics of the entire group.
There are several types of descriptive study. The most well-known include cross-sectional studies, census surveys, sample surveys, case reports, and comparison studies.
In the healthcare and medical fields, a case report is used to explain a patient’s circumstances when suffering from an uncommon illness or displaying certain symptoms. Case reports and case series are both collections of related cases. They have aided the advancement of medical knowledge on countless occasions.
The normative component is an addition to the descriptive survey. In the descriptive–normative survey, you compare the study’s results to the norm.
This descriptive type of research employs surveys to collect information on various topics. This data aims to determine the degree to which certain conditions may be attained.
You can extrapolate or generalize the information you obtain from sample surveys to the larger group being researched.
Correlative surveys help establish if there is a positive, negative, or neutral connection between two variables.
Performing census surveys involves gathering relevant data on several aspects of a given population. These units include individuals, families, organizations, objects, characteristics, and properties.
During descriptive research, you gather different degrees of interest over time from a specific population. Cross-sectional studies provide a glimpse of a phenomenon’s prevalence and features in a population. There are no ethical challenges with them and they are quite simple and inexpensive to carry out.
These surveys compare the two subjects’ conditions or characteristics. The subjects may include research variables, organizations, plans, and people.
Comparison points, assumption of similarities, and criteria of comparison are three important variables that affect how well and accurately comparative studies are conducted.
For instance, descriptive research can help determine how many CEOs hold a bachelor’s degree and what proportion of low-income households receive government help.
The primary advantage of descriptive research designs is that researchers can create a reliable and beneficial database for additional study. To conduct any inquiry, you need access to reliable information sources that can give you a firm understanding of a situation.
Quantitative studies are time- and resource-intensive, so knowing the hypotheses viable for testing is crucial. The basic overview of descriptive research provides helpful hints as to which variables are worth quantitatively examining. This is why it’s employed as a precursor to quantitative research designs.
Some experts view this research as untrustworthy and unscientific. However, there is no way to assess the findings because you don’t manipulate any variables statistically.
Cause-and-effect correlations also can’t be established through descriptive investigations. Additionally, observational study findings cannot be replicated, which prevents a review of the findings and their replication.
The absence of statistical and in-depth analysis and the rather superficial character of the investigative procedure are drawbacks of this research approach.
Several descriptive research examples are emphasized based on their types, purposes, and applications. Research questions often begin with “What is …” These studies help find solutions to practical issues in social science, physical science, and education.
Here are some examples and applications of descriptive research:
Organizations use descriptive research designs to determine how various demographic groups react to a certain product or service.
For example, a business looking to sell to its target market should research the market’s behavior first. When researching human behavior in response to a cause or event, the researcher pays attention to the traits, actions, and responses before drawing a conclusion.
Scientific descriptive research enables the classification of organisms and their traits and constituents.
A descriptive study design’s statistical capabilities allow researchers to track data trends over time. It’s frequently used to determine the study target’s current circumstances and underlying patterns.
Organizations can use a descriptive research approach to learn how various demographics react to a certain product or service. For example, you can study how the target market responds to a competitor’s product and use that information to infer their behavior.
A descriptive research design is suitable for exploring certain topics and serving as a prelude to larger quantitative investigations. It provides a comprehensive understanding of the “what” of the group or thing you’re investigating.
This research type acts as the cornerstone of other research methodologies . It is distinctive because it can use quantitative and qualitative research approaches at the same time.
Descriptive research design aims to systematically obtain information to describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem rather than the why.
Despite certain parallels, descriptive research concentrates on describing phenomena, while qualitative research aims to understand people better.
Data analysis involves using various methodologies, enabling the researcher to evaluate and provide results regarding validity and reliability.
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This chapter explores descriptive and interpretive approaches to qualitative research. This includes the formulation of the problem, data collection, the specifics of sampling, data analysis in descriptive/interpretive qualitative research, generation of categories, and extracting and interpreting the main findings.
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Methodology
Published on June 19, 2020 by Pritha Bhandari . Revised on June 22, 2023.
Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.
Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.
Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.
Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.
Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.
Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.
Approach | What does it involve? |
---|---|
Grounded theory | Researchers collect rich data on a topic of interest and develop theories . |
Researchers immerse themselves in groups or organizations to understand their cultures. | |
Action research | Researchers and participants collaboratively link theory to practice to drive social change. |
Phenomenological research | Researchers investigate a phenomenon or event by describing and interpreting participants’ lived experiences. |
Narrative research | Researchers examine how stories are told to understand how participants perceive and make sense of their experiences. |
Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.
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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:
Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.
For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.
Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.
Most types of qualitative data analysis share the same five steps:
There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.
Approach | When to use | Example |
---|---|---|
To describe and categorize common words, phrases, and ideas in qualitative data. | A market researcher could perform content analysis to find out what kind of language is used in descriptions of therapeutic apps. | |
To identify and interpret patterns and themes in qualitative data. | A psychologist could apply thematic analysis to travel blogs to explore how tourism shapes self-identity. | |
To examine the content, structure, and design of texts. | A media researcher could use textual analysis to understand how news coverage of celebrities has changed in the past decade. | |
To study communication and how language is used to achieve effects in specific contexts. | A political scientist could use discourse analysis to study how politicians generate trust in election campaigns. |
Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:
The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.
Data collection occurs in real-world contexts or in naturalistic ways.
Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.
Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.
Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:
The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.
Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.
Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .
Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.
If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
There are five common approaches to qualitative research :
Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.
There are various approaches to qualitative data analysis , but they all share five steps in common:
The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .
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Sources of data.
A descriptive design is a flexible, exploratory approach to qualitative research. Descriptive design is referred to in the literature by other labels including generic, general, basic, traditional, interpretive, and pragmatic. Descriptive design as an acceptable research design for dissertation and other robust scholarly research has received varying degrees of acceptance within the academic community. However, descriptive design has been gaining momentum since the early 2000’s as a suitable design for studies that do not fall into the more mainstream genres of qualitative research (ie. Case study, phenomenology, ethnography, narrative inquiry and grounded theory). In contrast to other qualitative designs, descriptive design is not aligned to specific methods (for example, bracketing in phenomenology, bounded systems in case study, or constant comparative analysis in grounded theory). Rather, descriptive design “borrows” methods appropriate to the proposed study from other designs.
Arguments supporting the flexible nature of descriptive designs describe it as being preferable to forcing a research approach into a design that is not quite appropriate for the nature of the intended study. However, descriptive design has also been criticized for this mixing of methods as well as for the limited literature describing it. The descriptive design can be the foundation for a rigorous study within the DSE program. Because of the flexibility of the methods used, a descriptive design provides the researcher with the opportunity to choose methods best suited to a practice-based research purpose.
The following video provides additional insight into descriptive design and qualitative research:
best suited to descriptive design are about the practical consequences and useful applications about an issue or problem. | of descriptive design is to answer exploratory qualitative questions that do not fit into the framework of a more traditional design | can draw on any type of qualitative source including personal accounts (ie. Interviews), documents, or artifacts. |
Benefits | Cautions |
---|---|
A practical design appropriate for practitioners in the field Examines participants’ perceptions or experiences related to a practice problem Appropriate when the purpose of the research does not require intense to sustained interactions with participants Since it draws on or “borrows” methods from other designs, it is a flexible design that is malleable to a variety of research situations. | More than one data source may be needed for triangulation Deep or intense understandings of life experiences or complex phenomenon may suggest an alternative design such as phenomenology or narrative inquiry Without specific, aligned methods, descriptive design novice researchers can unintentionally introduce “method slurring” and produce a study not based in a rigorous philosophical paradigm as are more traditional designs. |
Because of the exploratory nature of descriptive design, the triangulation of multiple sources of data are often used for additional insight into the phenomenon. Sources of data that can be used in descriptive studies are similar to those that may be used in other qualitative designs and include interviews, focus groups, documents, artifacts, and observations.
The following video provides additional considerations for triangulation in qualitative designs including descriptive design:
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This article summarizes descriptive qualitative research, a method used to explore and understand the characteristics and qualities of a phenomenon. The article explains key features of the method, such as the importance of detailed descriptions, open-ended questions, and context and meaning.
Key features of the descriptive qualitative research.
Descriptive qualitative research is a method of research that is focused on understanding a phenomenon by examining its characteristics and qualities. We use this type of research when we want to explore a topic that has not been studied in depth before, or when we want to gain a better understanding of a previously studied topic but using a different perspective and gain valuable insights in the process.
Descriptive qualitative research is a type of qualitative research that explores the characteristics of a phenomenon, rather than explaining the underlying causes or mechanisms.
The goal of descriptive qualitative research is to provide a rich and detailed account of the phenomenon under study. Doing so allows us to develop further research questions. The activity will also help inform policy or practice.
Researchers in various fields can use descriptive qualitative research, including social sciences, education, psychology, health sciences, and business.
In social sciences, for example, descriptive qualitative research can be used to explore social, cultural, or political issues, and to understand the perspectives and experiences of marginalized or underrepresented groups.
The data collection methods used in descriptive qualitative research can vary. Typically, the method involves an observation or interaction with the phenomenon being studied.
Flexible research method, few and easily obtained resources.
Descriptive qualitative research can be conducted using relatively few resources, easily accessible, and can often be completed more quickly than other types of research. These resources include the following:
Another strength of descriptive qualitative research is its ability to capture the complexity and richness of a phenomenon.
Can be time consuming, potential for researcher bias.
Because descriptive qualitative research often involves the interpretation of data, researchers may inadvertently introduce their own biases into the analysis. One researcher’s perspective may vary from another researcher’s viewpoint in studying the same phenomenon.
The researcher’s bias can be minimized through careful data collection and analysis techniques, but it is important for researchers to be aware of their own biases and to mitigate their impact on the research.
Because we often focus descriptive qualitative research on a specific phenomenon or context, it may not be possible to generalize the findings to other contexts or populations.
Step 1. identify the research question or topic of interest.
The first step is to identify the research question or topic of interest. Knowledge of the research agenda of an organization or institution where the researcher belongs will be most helpful.
The data collection methods should be chosen based on their ability to provide rich and detailed information about the phenomenon under study.
Step 4. disseminate the findings.
Finally, the results of the descriptive qualitative research should be communicated to others. This may involve writing a report, presenting the findings at a conference, or publishing the research in a peer-reviewed journal . Other researchers can build on the findings.
While there are some limitations to descriptive qualitative research, it can still be an important method for understanding specific phenomena and contexts.
As with any research method, it is important for researchers to approach descriptive qualitative research with a critical eye and to be aware of the potential biases and limitations of the method.
Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches. Sage publications.
Guest, G., MacQueen, K. M., & Namey, E. E. (2012). Applied thematic analysis. Sage publications.
Patton, M. Q. (2002). Qualitative research and evaluation methods. Sage publications.
Van der Riet, P., & Durrheim, K. (2012). Qualitative data analysis and interpretation. Doing research in the real world. Sage publications.
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Dr. Regoniel, a hobbyist writer, served as consultant to various environmental research and development projects covering issues and concerns on climate change, coral reef resources and management, economic valuation of environmental and natural resources, mining, and waste management and pollution. He has extensive experience on applied statistics, systems modelling and analysis, an avid practitioner of LaTeX, and a multidisciplinary web developer. He leverages pioneering AI-powered content creation tools to produce unique and comprehensive articles in this website.
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Qualitative description (QD) is a term that is widely used to describe qualitative studies of health care and nursing-related phenomena. However, limited discussions regarding QD are found in the existing literature. In this systematic review, we identified characteristics of methods and findings reported in research articles published in 2014 ...
For example, in our research to develop a patient-reported outcome measure for people who had undergone a percutaneous coronary intervention (PCI), which is a common cardiac procedure to treat heart disease, we started by conducting a qualitative descriptive study. 5 This project was a large, mixed-methods study funded by a private health ...
Introduction. Qualitative descriptive approaches to nursing and healthcare research provide a broad insight into particular phenomena and can be used in a variety of ways including as a standalone research design, as a precursor to larger qualitative studies and commonly as the qualitative component in mixed-methods studies.
QD is a valuable method for master's-level students and research trainees as it provides a practical, accessible, and flexible approach to qualitative research (Bradshaw et al., 2017), fostering the development of important research skills and contributing to the scientific integrity of their work. The disciplines in which QD research fits ...
Describing the Qualitative Descriptive Approach. In two seminal articles, Sandelowski promotes the mainstream use of qualitative description (Sandelowski, 2000, 2010) as a well-developed but unacknowledged method which provides a "comprehensive summary of an event in the every day terms of those events" (Sandelowski, 2000, p. 336).Such studies are characterized by lower levels of ...
In this particular book, we present descriptive-interpretive qualitative research by Robert Elliott and Ladislav Timulak. This generic approach is the culmination of many years of method development and research by these authors, who were pioneers in introducing qualitative research to the psycho-therapy field.
Descriptive research methods. Descriptive research is usually defined as a type of quantitative research, though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable.. Surveys. Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages ...
While many books and articles guide various qualitative research methods and analyses, there is currently no concise resource that explains and differentiates among the most common qualitative approaches. We believe novice qualitative researchers, students planning the design of a qualitative study or taking an introductory qualitative research course, and faculty teaching such courses can ...
This paper provides an overview of qualitative descriptive research, orientates to the underlying philosophical perspectives and key characteristics that define this approach and identifies the implications for healthcare practice and policy. ... She has conducted a range of mixed-method research studies in collaboration with health service ...
Instructors teaching courses in qualitative research could use the whole series, presenting one method at a time as they expose students to a range of qualitative methods. In this particular book, the authors present Robert Elliott and Ladislav Timulak's descriptive-interpretive qualitative research methods.
Descriptive research is a study of status and is widely used in education, nutrition, epidemiology, and the behavioral sciences. Its value is based on the premise that problems can be solved and practices improved through observation, analysis, and description. The most common descriptive research method is the survey, which includes ...
This method involves analyzing qualitative data (e.g., text, images, audio) to identify themes, patterns, or trends. Content analysis can be used to describe the characteristics of a sample or population, or to identify factors that influence attitudes or behaviors. ... As discussed earlier, common research methods for descriptive research ...
The brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches to capturing phenomena not easily measured quantitatively, offering exciting, nimble opportunities to gather in-depth qualitative data. This book offers a no-nonsense, step-by-step approach to ...
Objective: The purpose of this methodology paper is to describe an approach to qualitative design known as qualitative descriptive that is well suited to junior health sciences researchers because it can be used with a variety of theoretical approaches, sampling techniques, and data collection strategies. Background: It is often difficult for junior qualitative researchers to pull together the ...
Descriptive research is an exploratory research method.It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.. As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses.This can be reported using surveys, observational ...
Descriptive-interpretive qualitative research methods go by many 'brand names' in which various common elements are mixed and matched according to particular researchers' predilections; currently popular variations include grounded theory (Henwood and Pigeon, 1992; Strauss and Corbin, 1998), empirical phenomenology (Giorgi, 1975; Wertz, 1983), hermeneutic-interpretive research (Packer ...
A descriptive design is a flexible, exploratory approach to qualitative research. Descriptive design is referred to in the literature by other labels including generic, general, basic, traditional, interpretive, and pragmatic. Descriptive design as an acceptable research design for dissertation and other robust scholarly research has received ...
As a methodology, qualitative description research studies have gained popularity in recent years within nursing and midwifery, ... Qualitative descriptive research: An acceptable design. Pacific Rim International Journal of Nursing Research, 16, 255-256. Google Scholar. Law J. (2004). After method: Mess in social science research. London ...
Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research. Qualitative research is the opposite of quantitative research, which involves collecting and ...
A descriptive design is a flexible, exploratory approach to qualitative research. Descriptive design is referred to in the literature by other labels including generic, general, basic, traditional, interpretive, and pragmatic. Descriptive design as an acceptable research design for dissertation and other robust scholarly research has received ...
Qualitative research collects data qualitatively, and the method of analysis is also primarily qualitative. This often involves an inductive exploration of the data to identify recurring themes, patterns, or concepts and then describing and interpreting those categories. Of course, in qualitative research, the data collected qualitatively can ...
Key Features of the Descriptive Qualitative Research. Descriptive qualitative research is a method of research that is focused on understanding a phenomenon by examining its characteristics and qualities. We use this type of research when we want to explore a topic that has not been studied in depth before, or when we want to gain a better understanding of a previously studied topic but using ...
Qualitative and descriptive research methods have been very common procedures for conducting research in many disciplines, including education, psychology, and social sciences. These types of research have also begun to be increasingly used in the field of second language teaching and learning. The interest in such methods, particularly in ...