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Qualitative Methods in Monitoring and Evaluation: The Emic and the Etic: Their Importance to Qualitative Evaluators

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There are two terms that I think all qualitative evaluators should know and take to heart: the etic and the emic .  These are terms usually used by anthropologists.  The etic perspective is the outsider’s perspective, the perspective that we have of a project’s parameters—for example, an outsider’s perception of gender in Afghanistan.  The emic perspective is the insider’s perspective, the perspective that comes from within the culture where the project is situated—for example, gender perspectives of women involved in a project in Afghanistan. 

Why do these different perspectives matter?  In reality, it really isn’t an either/or situation.  We need both an etic and an emic perspective.  We most often use the emic and the etic in conjunction with each other.   The emic helps us to understand local realities, and the etic helps us to analyze them.

In the case of a project targeting women in Afghanistan, it is helpful for project managers to understand local level emic perceptions of gender, so they will know how to craft and manage the project in culturally acceptable ways.  It is also helpful to take a step back and look at the project, its activities, and its LogFrame , from the etic perspective, so we can analyze our progress and results.

Getting the Emic Perspective

How do we get the emic perspective?  An anthropologist might conduct an ethnographic study or ethnography.  When I have conducted ethnographies in various countries in Africa, I stayed in villages, used local languages, and ate local food.  As an evaluator, I use qualitative data collection techniques such as participant observation, interviews, focus groups, and participatory tools to collect emic data.

Murchison (2010) explains that as a qualitative evaluator, I become the research instrument, and as such, we should consider the impact of the researcher on the actual data collected.  Ethnographers and qualitative evaluator oftentimes keep journals throughout their research, to help them understand how their own state of mind might impact data collection.  As a qualitative researcher and evaluator, we embrace that the data we collect is filtered through ourselves, and we find ways to mitigate our own biases and interpretations in trying to understand the emic.

Schensul and LeCompte (2013) discuss some of the skills that we need to be good ethnographers. These are also important for us as evaluators as we use qualitative data collection techniques to gather emic data.   You are never going to be a full member of another culture, but you can gain skills to help you to fit in and understand the emic.  The authors give us some important advice:

• You need to experience the culture without being obtrusive;
• You need to listen as much as possible;
• Learning local languages is a good way to fit in, communicate, and get to know how people think;
• You need to build rapport, which depends on your connections, how comfortable you are in the field, how well you maintain confidentiality, and how fast you learn local customs and norms; and
• You need to respect local culture, gain permission from gatekeepers and others, and understand the history and local conditions.

It takes practice and time to develop the skills to be a good listener and emic researcher.  The understanding that we gain about a project and its culture is well worth the effort of learning how to collect emic data.

References: Julian Murchison, Ethnography Essentials: Designing, Conducting, and Presenting your Research, San Francisco: Wiley, 2010.

Jean Schensul and Margaret LeCompte, Essential Ethnographic Methods: A Mixed Methods Approach, 2nd ed., Lanham: AltaMira, 2013.

About the Author:

Dr. Beverly Peters has more than twenty years of experience teaching, conducting qualitative research, and managing community development, microcredit, infrastructure, and democratization projects in several countries in Africa. As a consultant, Dr. Peters worked on EU and USAID funded infrastructure, education, and microcredit projects in South Africa and Mozambique. She also conceptualized and developed the proposal for Darfur Peace and Development Organization’s women’s crisis center, a center that provides physical and economic assistance to women survivors of violence in the IDP camps in Darfur. Dr. Peters has a Ph.D. from the University of Pittsburgh. Learn more about Dr. Peters .

To learn more about American University’s online MS in Measurement & Evaluation or Graduate Certificate in Project Monitoring & Evaluation,  request more information  or call us toll free at 855-725-7614.

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The Potential of Emic Perspective in the Qualitative Inspections of Everyday Life The Potential of Emic Perspective in the Qualitative Inspections of Everyday Life

2018, Kultura i Edukacja

These reflections tackle a specific understanding of researching everyday life, which presents itself as a methodological demand, i.e., as a constitutive element of the new forms of inquiry. Consequently, the discourses revolve around the specificity of the anthropology of everyday life, as seen from various angles entailing third wave of sociology, cultural anthropology, and symbolic inter-actionism. It also elaborates on the methodological issues encompassing idi-ographic, emic characteristics of a qualitative inquiry that with relation to everyday life can provide a useful and cognitively attractive tool of reconstructing the world of different cultural groups.

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In this paper we offer an alternative goal for research, which is the acquisition of both emic and etic knowledge for the implementation of ethnomodeling. Emic knowledge is essential for an intuitive and empathic understanding of mathematical ideas of a culture. We have come to see it as essential for conducting effective ethnographic fieldwork. Furthermore, emic knowledge is a valuable source of inspiration for etic hypotheses. Etic knowledge, on the other hand, is essential for cross- cultural comparisons, and the essential components of ethnology, because such comparison demands standard units and categories to facilitate communication. We also offered here a third approach for ethnomodeling research; which is the dialogical approach that makes use of both emic and etic knowledge traditions through processes of dialogue and interaction. Finally, we have defined ethnomodeling as the study of mathematical phenomena within a culture because it is a social construction and is cultura...

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A multiplicity of theoretical methodologies can be grouped together 'qualitative inquiry' and they are increasingly used in academic fields that investigate issues of personal and social life. Amongst them we find biographic investigation, narrative, cultural studies, discourse analysis and autoethnography. This list is not restricted. Among the many kinds of qualitative research we find a growing differentiation within each. None of them is monolithic. Within each, differences grow, based on different thematic fields, epistemological emphases, methodological options, ethical frames, as well as from their influence on each other. And these subfields claim their independence, a tendency that is repeated inside each sub-field. Many of them (if not all) claim a disciplinary or interdisciplinary identity as well that exceeds the methodological. Those who argue this, understand qualitative inquiry as a moment in the process of production of knowledge regarding a given phenomenon. For many of them, qualitative inquiry can even be what allows them to constitute the phenomenon in the best way possible. Others insist that a mixed approach is necessary in their research. This affects not only the social sciences. We find similar arguments in interdisciplinary spaces that are closer to the Humanities and the so-called applied disciplines. An intriguing case in particular is that of action-inquiry, whose emphasis on transformation and participation would seem to situate it inside qualitative research, though many participants think this is not so. Their position arises from reasons that are theoretic-methodological but also invokes arguments of strategy. Given what has already been said, I am convinced that Investigación Cualitativa must confess and practice an epistemological cosmopolitanism. Consider that qualitative inquiry, like any other academic field, is both an area within the cartography of knowledge and a socio-intellectual community. And of course we should recognize that qualitative research is not one but several socio-intellectual communities. At this point things are not only complex but also complicated. In effect, Investigación Cualitativa is born within one of those communities. I dare to say that it is born with the promise to promote the growth and diversification of the production of knowledge and contact amongst those who cultivate it-and cultivate themselves through it. This is the community that speaks and works in Spanish and Portuguese and meets year after year during the days of the International Congress of Qualitative Inquiry (ICQI) under the name of ADISP, A Day in Spanish and Portuguese. This way, the internal distinction and external intersections of the socio-intellectual communities of qualitative inquiry rise in our case from the linguistic specificity as well as national differences. Needless to say, the provocation of writing and engaging in conversation in your own language when it is about qualitative inquiry transforms into an epistemological need, 1 PhD (c) in Curriculum and Instruction, University of Illinois Urbana Champaign. [email protected]

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Qualitative Research: Characteristics, Design, Methods & Examples

Lauren McCall

MSc Health Psychology Graduate

MSc, Health Psychology, University of Nottingham

Lauren obtained an MSc in Health Psychology from The University of Nottingham with a distinction classification.

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On This Page:

Qualitative research is a type of research methodology that focuses on gathering and analyzing non-numerical data to gain a deeper understanding of human behavior, experiences, and perspectives.

It aims to explore the “why” and “how” of a phenomenon rather than the “what,” “where,” and “when” typically addressed by quantitative research.

Unlike quantitative research, which focuses on gathering and analyzing numerical data for statistical analysis, qualitative research involves researchers interpreting data to identify themes, patterns, and meanings.

Qualitative research can be used to:

• Gain deep contextual understandings of the subjective social reality of individuals
• To answer questions about experience and meaning from the participant’s perspective
• To design hypotheses, theory must be researched using qualitative methods to determine what is important before research can begin. 

Examples of qualitative research questions include: 

• How does stress influence young adults’ behavior?
• What factors influence students’ school attendance rates in developed countries?
• How do adults interpret binge drinking in the UK?
• What are the psychological impacts of cervical cancer screening in women?
• How can mental health lessons be integrated into the school curriculum? 

Characteristics 

Naturalistic setting.

Individuals are studied in their natural setting to gain a deeper understanding of how people experience the world. This enables the researcher to understand a phenomenon close to how participants experience it. 

Naturalistic settings provide valuable contextual information to help researchers better understand and interpret the data they collect.

The environment, social interactions, and cultural factors can all influence behavior and experiences, and these elements are more easily observed in real-world settings.

Reality is socially constructed

Qualitative research aims to understand how participants make meaning of their experiences – individually or in social contexts. It assumes there is no objective reality and that the social world is interpreted (Yilmaz, 2013). 

The primacy of subject matter 

The primary aim of qualitative research is to understand the perspectives, experiences, and beliefs of individuals who have experienced the phenomenon selected for research rather than the average experiences of groups of people (Minichiello, 1990).

An in-depth understanding is attained since qualitative techniques allow participants to freely disclose their experiences, thoughts, and feelings without constraint (Tenny et al., 2022). 

Variables are complex, interwoven, and difficult to measure

Factors such as experiences, behaviors, and attitudes are complex and interwoven, so they cannot be reduced to isolated variables , making them difficult to measure quantitatively.

However, a qualitative approach enables participants to describe what, why, or how they were thinking/ feeling during a phenomenon being studied (Yilmaz, 2013). 

Emic (insider’s point of view)

The phenomenon being studied is centered on the participants’ point of view (Minichiello, 1990).

Emic is used to describe how participants interact, communicate, and behave in the research setting (Scarduzio, 2017).

Interpretive analysis

In qualitative research, interpretive analysis is crucial in making sense of the collected data.

This process involves examining the raw data, such as interview transcripts, field notes, or documents, and identifying the underlying themes, patterns, and meanings that emerge from the participants’ experiences and perspectives.

Collecting Qualitative Data

There are four main research design methods used to collect qualitative data: observations, interviews,  focus groups, and ethnography.

Observations

This method involves watching and recording phenomena as they occur in nature. Observation can be divided into two types: participant and non-participant observation.

In participant observation, the researcher actively participates in the situation/events being observed.

In non-participant observation, the researcher is not an active part of the observation and tries not to influence the behaviors they are observing (Busetto et al., 2020). 

Observations can be covert (participants are unaware that a researcher is observing them) or overt (participants are aware of the researcher’s presence and know they are being observed).

However, awareness of an observer’s presence may influence participants’ behavior. 

Interviews give researchers a window into the world of a participant by seeking their account of an event, situation, or phenomenon. They are usually conducted on a one-to-one basis and can be distinguished according to the level at which they are structured (Punch, 2013). 

Structured interviews involve predetermined questions and sequences to ensure replicability and comparability. However, they are unable to explore emerging issues.

Informal interviews consist of spontaneous, casual conversations which are closer to the truth of a phenomenon. However, information is gathered using quick notes made by the researcher and is therefore subject to recall bias. 

Semi-structured interviews have a flexible structure, phrasing, and placement so emerging issues can be explored (Denny & Weckesser, 2022).

The use of probing questions and clarification can lead to a detailed understanding, but semi-structured interviews can be time-consuming and subject to interviewer bias. 

Focus groups 

Similar to interviews, focus groups elicit a rich and detailed account of an experience. However, focus groups are more dynamic since participants with shared characteristics construct this account together (Denny & Weckesser, 2022).

A shared narrative is built between participants to capture a group experience shaped by a shared context. 

The researcher takes on the role of a moderator, who will establish ground rules and guide the discussion by following a topic guide to focus the group discussions.

Typically, focus groups have 4-10 participants as a discussion can be difficult to facilitate with more than this, and this number allows everyone the time to speak.

Ethnography

Ethnography is a methodology used to study a group of people’s behaviors and social interactions in their environment (Reeves et al., 2008).

Data are collected using methods such as observations, field notes, or structured/ unstructured interviews.

The aim of ethnography is to provide detailed, holistic insights into people’s behavior and perspectives within their natural setting. In order to achieve this, researchers immerse themselves in a community or organization. 

Due to the flexibility and real-world focus of ethnography, researchers are able to gather an in-depth, nuanced understanding of people’s experiences, knowledge and perspectives that are influenced by culture and society.

In order to develop a representative picture of a particular culture/ context, researchers must conduct extensive field work. 

This can be time-consuming as researchers may need to immerse themselves into a community/ culture for a few days, or possibly a few years.

Qualitative Data Analysis Methods

Different methods can be used for analyzing qualitative data. The researcher chooses based on the objectives of their study. 

The researcher plays a key role in the interpretation of data, making decisions about the coding, theming, decontextualizing, and recontextualizing of data (Starks & Trinidad, 2007). 

Grounded theory

Grounded theory is a qualitative method specifically designed to inductively generate theory from data. It was developed by Glaser and Strauss in 1967 (Glaser & Strauss, 2017).

This methodology aims to develop theories (rather than test hypotheses) that explain a social process, action, or interaction (Petty et al., 2012). To inform the developing theory, data collection and analysis run simultaneously. 

There are three key types of coding used in grounded theory: initial (open), intermediate (axial), and advanced (selective) coding. 

Throughout the analysis, memos should be created to document methodological and theoretical ideas about the data. Data should be collected and analyzed until data saturation is reached and a theory is developed. 

Content analysis

Content analysis was first used in the early twentieth century to analyze textual materials such as newspapers and political speeches.

Content analysis is a research method used to identify and analyze the presence and patterns of themes, concepts, or words in data (Vaismoradi et al., 2013). 

This research method can be used to analyze data in different formats, which can be written, oral, or visual. 

The goal of content analysis is to develop themes that capture the underlying meanings of data (Schreier, 2012). 

Qualitative content analysis can be used to validate existing theories, support the development of new models and theories, and provide in-depth descriptions of particular settings or experiences.

The following six steps provide a guideline for how to conduct qualitative content analysis.

• Define a Research Question : To start content analysis, a clear research question should be developed.
• Identify and Collect Data : Establish the inclusion criteria for your data. Find the relevant sources to analyze.
• Define the Unit or Theme of Analysis : Categorize the content into themes. Themes can be a word, phrase, or sentence.
• Develop Rules for Coding your Data : Define a set of coding rules to ensure that all data are coded consistently.
• Code the Data : Follow the coding rules to categorize data into themes.
• Analyze the Results and Draw Conclusions : Examine the data to identify patterns and draw conclusions in relation to your research question.

Discourse analysis

Discourse analysis is a research method used to study written/ spoken language in relation to its social context (Wood & Kroger, 2000).

In discourse analysis, the researcher interprets details of language materials and the context in which it is situated.

Discourse analysis aims to understand the functions of language (how language is used in real life) and how meaning is conveyed by language in different contexts. Researchers use discourse analysis to investigate social groups and how language is used to achieve specific communication goals.

Different methods of discourse analysis can be used depending on the aims and objectives of a study. However, the following steps provide a guideline on how to conduct discourse analysis.

• Define the Research Question : Develop a relevant research question to frame the analysis.
• Gather Data and Establish the Context : Collect research materials (e.g., interview transcripts, documents). Gather factual details and review the literature to construct a theory about the social and historical context of your study.
• Analyze the Content : Closely examine various components of the text, such as the vocabulary, sentences, paragraphs, and structure of the text. Identify patterns relevant to the research question to create codes, then group these into themes.
• Review the Results : Reflect on the findings to examine the function of the language, and the meaning and context of the discourse. 

Thematic analysis

Thematic analysis is a method used to identify, interpret, and report patterns in data, such as commonalities or contrasts. 

Although the origin of thematic analysis can be traced back to the early twentieth century, understanding and clarity of thematic analysis is attributed to Braun and Clarke (2006).

Thematic analysis aims to develop themes (patterns of meaning) across a dataset to address a research question. 

In thematic analysis, qualitative data is gathered using techniques such as interviews, focus groups, and questionnaires. Audio recordings are transcribed. The dataset is then explored and interpreted by a researcher to identify patterns. 

This occurs through the rigorous process of data familiarisation, coding, theme development, and revision. These identified patterns provide a summary of the dataset and can be used to address a research question.

Themes are developed by exploring the implicit and explicit meanings within the data. Two different approaches are used to generate themes: inductive and deductive. 

An inductive approach allows themes to emerge from the data. In contrast, a deductive approach uses existing theories or knowledge to apply preconceived ideas to the data.

Phases of Thematic Analysis

Braun and Clarke (2006) provide a guide of the six phases of thematic analysis. These phases can be applied flexibly to fit research questions and data. 

Template analysis

Template analysis refers to a specific method of thematic analysis which uses hierarchical coding (Brooks et al., 2014).

Template analysis is used to analyze textual data, for example, interview transcripts or open-ended responses on a written questionnaire.

To conduct template analysis, a coding template must be developed (usually from a subset of the data) and subsequently revised and refined. This template represents the themes identified by researchers as important in the dataset. 

Codes are ordered hierarchically within the template, with the highest-level codes demonstrating overarching themes in the data and lower-level codes representing constituent themes with a narrower focus.

A guideline for the main procedural steps for conducting template analysis is outlined below.

• Familiarization with the Data : Read (and reread) the dataset in full. Engage, reflect, and take notes on data that may be relevant to the research question.
• Preliminary Coding : Identify initial codes using guidance from the a priori codes, identified before the analysis as likely to be beneficial and relevant to the analysis.
• Organize Themes : Organize themes into meaningful clusters. Consider the relationships between the themes both within and between clusters.
• Produce an Initial Template : Develop an initial template. This may be based on a subset of the data.
• Apply and Develop the Template : Apply the initial template to further data and make any necessary modifications. Refinements of the template may include adding themes, removing themes, or changing the scope/title of themes. 
• Finalize Template : Finalize the template, then apply it to the entire dataset. 

Frame analysis

Frame analysis is a comparative form of thematic analysis which systematically analyzes data using a matrix output.

Ritchie and Spencer (1994) developed this set of techniques to analyze qualitative data in applied policy research. Frame analysis aims to generate theory from data.

Frame analysis encourages researchers to organize and manage their data using summarization.

This results in a flexible and unique matrix output, in which individual participants (or cases) are represented by rows and themes are represented by columns. 

Each intersecting cell is used to summarize findings relating to the corresponding participant and theme.

Frame analysis has five distinct phases which are interrelated, forming a methodical and rigorous framework.

• Familiarization with the Data : Familiarize yourself with all the transcripts. Immerse yourself in the details of each transcript and start to note recurring themes.
• Develop a Theoretical Framework : Identify recurrent/ important themes and add them to a chart. Provide a framework/ structure for the analysis.
• Indexing : Apply the framework systematically to the entire study data.
• Summarize Data in Analytical Framework : Reduce the data into brief summaries of participants’ accounts.
• Mapping and Interpretation : Compare themes and subthemes and check against the original transcripts. Group the data into categories and provide an explanation for them.

Preventing Bias in Qualitative Research

To evaluate qualitative studies, the CASP (Critical Appraisal Skills Programme) checklist for qualitative studies can be used to ensure all aspects of a study have been considered (CASP, 2018).

The quality of research can be enhanced and assessed using criteria such as checklists, reflexivity, co-coding, and member-checking. 

Co-coding 

Relying on only one researcher to interpret rich and complex data may risk key insights and alternative viewpoints being missed. Therefore, coding is often performed by multiple researchers.

A common strategy must be defined at the beginning of the coding process  (Busetto et al., 2020). This includes establishing a useful coding list and finding a common definition of individual codes.

Transcripts are initially coded independently by researchers and then compared and consolidated to minimize error or bias and to bring confirmation of findings. 

Member checking

Member checking (or respondent validation) involves checking back with participants to see if the research resonates with their experiences (Russell & Gregory, 2003).

Data can be returned to participants after data collection or when results are first available. For example, participants may be provided with their interview transcript and asked to verify whether this is a complete and accurate representation of their views.

Participants may then clarify or elaborate on their responses to ensure they align with their views (Shenton, 2004).

This feedback becomes part of data collection and ensures accurate descriptions/ interpretations of phenomena (Mays & Pope, 2000). 

Reflexivity in qualitative research

Reflexivity typically involves examining your own judgments, practices, and belief systems during data collection and analysis. It aims to identify any personal beliefs which may affect the research. 

Reflexivity is essential in qualitative research to ensure methodological transparency and complete reporting. This enables readers to understand how the interaction between the researcher and participant shapes the data.

Depending on the research question and population being researched, factors that need to be considered include the experience of the researcher, how the contact was established and maintained, age, gender, and ethnicity.

These details are important because, in qualitative research, the researcher is a dynamic part of the research process and actively influences the outcome of the research (Boeije, 2014). 

Reflexivity Example

Who you are and your characteristics influence how you collect and analyze data. Here is an example of a reflexivity statement for research on smoking. I am a 30-year-old white female from a middle-class background. I live in the southwest of England and have been educated to master’s level. I have been involved in two research projects on oral health. I have never smoked, but I have witnessed how smoking can cause ill health from my volunteering in a smoking cessation clinic. My research aspirations are to help to develop interventions to help smokers quit.

Establishing Trustworthiness in Qualitative Research

Trustworthiness is a concept used to assess the quality and rigor of qualitative research. Four criteria are used to assess a study’s trustworthiness: credibility, transferability, dependability, and confirmability.

1. Credibility in Qualitative Research

Credibility refers to how accurately the results represent the reality and viewpoints of the participants.

To establish credibility in research, participants’ views and the researcher’s representation of their views need to align (Tobin & Begley, 2004).

To increase the credibility of findings, researchers may use data source triangulation, investigator triangulation, peer debriefing, or member checking (Lincoln & Guba, 1985). 

2. Transferability in Qualitative Research

Transferability refers to how generalizable the findings are: whether the findings may be applied to another context, setting, or group (Tobin & Begley, 2004).

Transferability can be enhanced by giving thorough and in-depth descriptions of the research setting, sample, and methods (Nowell et al., 2017). 

3. Dependability in Qualitative Research

Dependability is the extent to which the study could be replicated under similar conditions and the findings would be consistent.

Researchers can establish dependability using methods such as audit trails so readers can see the research process is logical and traceable (Koch, 1994).

4. Confirmability in Qualitative Research

Confirmability is concerned with establishing that there is a clear link between the researcher’s interpretations/ findings and the data.

Researchers can achieve confirmability by demonstrating how conclusions and interpretations were arrived at (Nowell et al., 2017).

This enables readers to understand the reasoning behind the decisions made. 

Audit Trails in Qualitative Research

An audit trail provides evidence of the decisions made by the researcher regarding theory, research design, and data collection, as well as the steps they have chosen to manage, analyze, and report data. 

The researcher must provide a clear rationale to demonstrate how conclusions were reached in their study.

A clear description of the research path must be provided to enable readers to trace through the researcher’s logic (Halpren, 1983).

Researchers should maintain records of the raw data, field notes, transcripts, and a reflective journal in order to provide a clear audit trail. 

Discovery of unexpected data

Open-ended questions in qualitative research mean the researcher can probe an interview topic and enable the participant to elaborate on responses in an unrestricted manner.

This allows unexpected data to emerge, which can lead to further research into that topic. 

The exploratory nature of qualitative research helps generate hypotheses that can be tested quantitatively (Busetto et al., 2020).

Flexibility

Data collection and analysis can be modified and adapted to take the research in a different direction if new ideas or patterns emerge in the data.

This enables researchers to investigate new opportunities while firmly maintaining their research goals. 

Naturalistic settings

The behaviors of participants are recorded in real-world settings. Studies that use real-world settings have high ecological validity since participants behave more authentically. 

Limitations

Time-consuming .

Qualitative research results in large amounts of data which often need to be transcribed and analyzed manually.

Even when software is used, transcription can be inaccurate, and using software for analysis can result in many codes which need to be condensed into themes. 

Subjectivity 

The researcher has an integral role in collecting and interpreting qualitative data. Therefore, the conclusions reached are from their perspective and experience.

Consequently, interpretations of data from another researcher may vary greatly. 

Limited generalizability

The aim of qualitative research is to provide a detailed, contextualized understanding of an aspect of the human experience from a relatively small sample size.

Despite rigorous analysis procedures, conclusions drawn cannot be generalized to the wider population since data may be biased or unrepresentative.

Therefore, results are only applicable to a small group of the population. 

While individual qualitative studies are often limited in their generalizability due to factors such as sample size and context, metasynthesis enables researchers to synthesize findings from multiple studies, potentially leading to more generalizable conclusions.

By integrating findings from studies conducted in diverse settings and with different populations, metasynthesis can provide broader insights into the phenomenon of interest.

Extraneous variables

Qualitative research is often conducted in real-world settings. This may cause results to be unreliable since extraneous variables may affect the data, for example:

• Situational variables : different environmental conditions may influence participants’ behavior in a study. The random variation in factors (such as noise or lighting) may be difficult to control in real-world settings.
• Participant characteristics : this includes any characteristics that may influence how a participant answers/ behaves in a study. This may include a participant’s mood, gender, age, ethnicity, sexual identity, IQ, etc.
• Experimenter effect : experimenter effect refers to how a researcher’s unintentional influence can change the outcome of a study. This occurs when (i) their interactions with participants unintentionally change participants’ behaviors or (ii) due to errors in observation, interpretation, or analysis. 

What sample size should qualitative research be?

The sample size for qualitative studies has been recommended to include a minimum of 12 participants to reach data saturation (Braun, 2013).

Are surveys qualitative or quantitative?

Surveys can be used to gather information from a sample qualitatively or quantitatively. Qualitative surveys use open-ended questions to gather detailed information from a large sample using free text responses.

The use of open-ended questions allows for unrestricted responses where participants use their own words, enabling the collection of more in-depth information than closed-ended questions.

In contrast, quantitative surveys consist of closed-ended questions with multiple-choice answer options. Quantitative surveys are ideal to gather a statistical representation of a population.

What are the ethical considerations of qualitative research?

Before conducting a study, you must think about any risks that could occur and take steps to prevent them. Participant Protection : Researchers must protect participants from physical and mental harm. This means you must not embarrass, frighten, offend, or harm participants. Transparency : Researchers are obligated to clearly communicate how they will collect, store, analyze, use, and share the data. Confidentiality : You need to consider how to maintain the confidentiality and anonymity of participants’ data.

What is triangulation in qualitative research?

Triangulation refers to the use of several approaches in a study to comprehensively understand phenomena. This method helps to increase the validity and credibility of research findings. 

Types of triangulation include method triangulation (using multiple methods to gather data); investigator triangulation (multiple researchers for collecting/ analyzing data), theory triangulation (comparing several theoretical perspectives to explain a phenomenon), and data source triangulation (using data from various times, locations, and people; Carter et al., 2014).

Why is qualitative research important?

Qualitative research allows researchers to describe and explain the social world. The exploratory nature of qualitative research helps to generate hypotheses that can then be tested quantitatively.

In qualitative research, participants are able to express their thoughts, experiences, and feelings without constraint.

Additionally, researchers are able to follow up on participants’ answers in real-time, generating valuable discussion around a topic. This enables researchers to gain a nuanced understanding of phenomena which is difficult to attain using quantitative methods.

What is coding data in qualitative research?

Coding data is a qualitative data analysis strategy in which a section of text is assigned with a label that describes its content.

These labels may be words or phrases which represent important (and recurring) patterns in the data.

This process enables researchers to identify related content across the dataset. Codes can then be used to group similar types of data to generate themes.

What is the difference between qualitative and quantitative research?

Qualitative research involves the collection and analysis of non-numerical data in order to understand experiences and meanings from the participant’s perspective.

This can provide rich, in-depth insights on complicated phenomena. Qualitative data may be collected using interviews, focus groups, or observations.

In contrast, quantitative research involves the collection and analysis of numerical data to measure the frequency, magnitude, or relationships of variables. This can provide objective and reliable evidence that can be generalized to the wider population.

Quantitative data may be collected using closed-ended questionnaires or experiments.

What is trustworthiness in qualitative research?

Trustworthiness is a concept used to assess the quality and rigor of qualitative research. Four criteria are used to assess a study’s trustworthiness: credibility, transferability, dependability, and confirmability. 

Credibility refers to how accurately the results represent the reality and viewpoints of the participants. Transferability refers to whether the findings may be applied to another context, setting, or group.

Dependability is the extent to which the findings are consistent and reliable. Confirmability refers to the objectivity of findings (not influenced by the bias or assumptions of researchers).

What is data saturation in qualitative research?

Data saturation is a methodological principle used to guide the sample size of a qualitative research study.

Data saturation is proposed as a necessary methodological component in qualitative research (Saunders et al., 2018) as it is a vital criterion for discontinuing data collection and/or analysis. 

The intention of data saturation is to find “no new data, no new themes, no new coding, and ability to replicate the study” (Guest et al., 2006). Therefore, enough data has been gathered to make conclusions.

Why is sampling in qualitative research important?

In quantitative research, large sample sizes are used to provide statistically significant quantitative estimates.

This is because quantitative research aims to provide generalizable conclusions that represent populations.

However, the aim of sampling in qualitative research is to gather data that will help the researcher understand the depth, complexity, variation, or context of a phenomenon. The small sample sizes in qualitative studies support the depth of case-oriented analysis.

What is narrative analysis?

Narrative analysis is a qualitative research method used to understand how individuals create stories from their personal experiences.

There is an emphasis on understanding the context in which a narrative is constructed, recognizing the influence of historical, cultural, and social factors on storytelling.

Researchers can use different methods together to explore a research question.

Some narrative researchers focus on the content of what is said, using thematic narrative analysis, while others focus on the structure, such as holistic-form or categorical-form structural narrative analysis. Others focus on how the narrative is produced and performed.

Boeije, H. (2014). Analysis in qualitative research. Sage.

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Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and assess qualitative research methods. Neurological research and practice , 2 (1), 14-14. https://doi.org/10.1186/s42466-020-00059-z 

Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. J. (2014). The use of triangulation in qualitative research. Oncology nursing forum , 41 (5), 545–547. https://doi.org/10.1188/14.ONF.545-547

Critical Appraisal Skills Programme. (2018). CASP Checklist: 10 questions to help you make sense of a Qualitative research. https://casp-uk.net/images/checklist/documents/CASP-Qualitative-Studies-Checklist/CASP-Qualitative-Checklist-2018_fillable_form.pdf Accessed: March 15 2023

Clarke, V., & Braun, V. (2013). Successful qualitative research: A practical guide for beginners. Successful Qualitative Research , 1-400.

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Chapter 9: Ethnography

Darshini Ayton

Learning outcomes

Upon completion of this chapter, you should be able to:

• Identify the key terms and concepts used in ethnography.
• Discuss the advantages and disadvantages of ethnography.

What is ethnography?

The key concept in ethnography is culture .

Ethnography studies emerged from the discipline of anthropology. They aim to understand the meanings and behaviours associated with the membership of groups, teams, organisations and communities. 1 The focus of ethnographic research is on the lived culture of groups of people; ethnographers have studied systems of belief, religious frameworks, worldviews and structures that form the social world. There are many definitions of culture. In ethnography, culture is defined as the group norms and expectations that allow members of the group to communicate and work together. This includes attributes, beliefs, customs, behaviours, knowledge, capabilities and habits. Examples of cultural groups include people from a particular region or race, religious groups, organisational groups, workplaces and social groups (for example, friendship groups, and mothers groups). Note that culture is dynamic and socially constructed and it is normal for there to be sub-cultures within cultural groups. 2

Multiple methods can be used in ethnographic research, but participant observation is a hallmark method. 1,3 To explore culture requires a ‘triangulation’; that is,  the use of multiple methods, such as observations and interviews, to develop a comprehensive understanding of culture through observing people and listening to what they have to say about (or within) the culture.

Several approaches to data analysis lend themselves to ethnography, including the identification, study and analysis of patterns. The process of analysis follows a typically unstructured and iterative path consisting of description (describing data), analysis (examining relationships and linkages) and interpretation (explanations beyond analysis). 4

There are other key concepts in ethnographic research, which are outlined below.

Additional key concepts in ethnographic research

• Fieldwork and field notes – the time spent engaging in primary data collection, which is predominantly participant observation, and the mode of data collection. Fieldwork is the time spent immersed in the culture under study, while field notes are the written reflections, observations and ideas documented during or soon after fieldwork. 5
• Participant observation – the main method of data collection in ethnography involves the researcher participating as a member of the community or culture, to gain first-hand experience of daily life in the research setting. 5
• An emic perspective – ethnography seeks to understand the worldview of the participant; it thus follows that the researcher can have an emic perspective (insider) or an etic perspective (outsider). This is not a binary category. Rather, researchers might be considered on a continuum, from emic to etic 6 (see Chapter 28 for an overview of insider and outsider research), and therefore reflexivity (Chapter 30) and researcher positionality (Chapter 28) are important elements of the research process . Implementing ‘insider’ ethnography: lessons from the Public Conversations about HIV/AIDS  project in rural South Africa describes an ethnography project involving insider community members and outsider investigators reflecting on the advantages and challenges of this approach. 7
• Thick description – the researcher creates detailed observational field notes with references to the social actions and behaviours of participants. The field notes include anecdotes, observations about the language used and quotes to illustrate the activities of the cultural group being observed. The researcher then integrates theoretical frameworks to help create meaning for the observations. 8
• Holism – ethnography focuses on studying all aspects of a culture, including religious practices, politics, institutions, family structures and cultural traditions. Using the analogy of the structure of the human body, Bronislaw Malinowski, one of the founders of the functionalist school of anthropology, described survey research as the skeleton and ethnography as the flesh and blood. 4

How long researchers spend conducting observations in the field depends on the research question and context. For example, in research to observe and characterise the behaviours and processes of antimicrobial decision-making in two surgical units of an acute hospital setting, researchers spent 58 hours in participant observation at three points of care: pre-admission clinic, surgery and on the ward following surgery. These three points of care were chosen as key moments in the patient’s experience of surgery. The observations were conducted in an acute hospital where medical practice is process-driven and protocol-driven. Hence, it did not take extensive time to observe the typical process and protocol in this setting. Researchers used an observation audit sheet (see Chapter 15) and informed participants that the study was focused on clinical decision-making, rather than specifically antimicrobial prescribing. This was done to minimise the ‘Hawthorne effect’, whereby people are said to change their behaviour because they know they are being observed. Following participant observations, six semi-structured interviews were conducted with two surgeons and four anaesthetists to clarify and discuss the findings of the observations. Interview data were analysed thematically, using inductive and deductive coding. 9

In contrast, an ethnographic study of homecare workers supporting people living with dementia involved 100 hours of participant observations of 16 homecare workers who were supporting 17 people living with dementia. Interviews were conducted with 82 people, including people living with dementia, family carers, homecare managers and support staff, homecare workers, and health and social care professionals. 10

Advantages and challenges of ethnography

The immersive approach to ethnography enables a nuanced understanding of the cultural group under study. Unlike other research designs, the prolonged engagement with the research setting provides an opportunity to refine and iterate research questions leading to a deeper understanding of the phenomenon. Participant observation provides a first hand of the behaviours and interactions of people within a cultural group which can be triangulated with interviews and documents to increase the rigour of the research. 9

There are many challenges in conducting ethnographic research. The time required to undertake ethnographic fieldwork can range from short sessions of observations over months or years, to the researcher living in the community for a period of time. The resources and time required may be substantial. When a researcher is embedded within a community, their departure can cause anxiety and distress for both the researcher and the community members. This experience was described by Paolo Franco, who spent 18 months conducting fieldwork in a retirement village, as a volunteer technology supporter for the residents. Franco described how the participants became dependent on his technology service as well as socially and emotionally connected to him as the researcher. To mitigate problems occurring with a researcher withdraws from a research setting, the researcher should let participants know as early as possible about their estimated time in the community, and should have a plan for their exit. 11

Another key challenge in ethnography is gaining access to ‘the field’ and enlisting the support of gatekeepers. Careful planning and engagement are required to ensure communication channels are open and positive relationships are established. Managing ethical conduct is another important consideration in ethnography. Researchers need to consider how much they will disclose to participants about the purpose of the research, and whether they will be covert (undercover) or overt (open and transparent) in their approach to fieldwork. For the most part, researchers are overt about their research, hoping that participants will ‘forget’ that they are being studied and will revert to natural behaviours. 5

Table 9.1 provides two examples of ethnography from health and social care.

Table 9.1. Ethnographic examples

Ethnography focuses on understanding culture and the behaviours, experiences and meanings at the group level. The main method of data collection is participant observation, which can be combined with interviews, focus groups and field notes to inform interpretations of the research topic.

• Reeves S, Kuper A, Hodges BD. Qualitative research methodologies: ethnography. BMJ . 2008;337:a1020. doi:10.1136/bmj.a1020
• Hudelson PM. Culture and quality: an anthropological perspective. Int J Qual Health Care . 2004;16(5):345-346. doi:10.1093/intqhc/mzh076
• Strudwick RM. Ethnographic research in healthcare – patients and service users as participants. Disabil Rehabil . 2020;43(22): 3271-327. doi:10.1080/09638288.2020.1741695
• Reeves S, Peller J, Goldman J, Kitto S. Ethnography in qualitative educational research: AMEE Guide No. 80. Med Teach . 2013;35(8):e1365-e1379. doi:10.3109/0142159X.2013.804977
• O’Reilly K, Bone JH. Key Concepts in Ethnography . The SAGE Key Concepts Series. SAGE; 2009.
• Eriksson P, Kovalainen A. Qualitative Methods in Business Research . SAGE; 2008.
• Angotti N, Sennott C. Implementing ‘insider’ ethnography: lessons from the Public Conversations about HIV/AIDS project in rural South Africa. Qual Res . 2015;15(4):437-453. doi:10.1177/1468794114543402
• Clark L, Chevrette R. Thick Description. In: Matthes J, Davis CS, Potter RE, eds. The International Encyclopedia of Communication Research Methods : John Wiley & Sons; 2017.
• Jackson J. Ethnography. In: Hua Z, ed. Research Methods in Intercultural Communication . John Wiley & Sons;  2015.
• Leverton M, Burton A, Beresford-Dent J, et al. Supporting independence at home for people living with dementia: a qualitative ethnographic study of homecare. Soc Psychiatry Psychiatr Epidemiol . 2021;56(12):2323-2336. doi:10.1007/s00127-021-02084-y
• Franco P, Yang YN. Existing fieldwork ‘with grace’: reflections on the unintended consequences of participant observation and researcher-participant relationships. Qualitative Market Research . 2021;24(3):358-374. doi:10.1108/QMR-07-2020-0094
• Johnson EK. The costs of care: an ethnography of care work in residential homes for older people. Sociol Health Illn . 2023;45(1):54-69. doi:10.1111/1467-9566.13546
• Kitson C, Haines M, O’Byrne P. Understanding the perspectives of women who use intravenous drugs and are experiencing homelessness in an urban centre in Canada: an analysis of ethnographic data. Glob Qual Nurs Res . Published online March 20, 2022. doi:10.1177/23333936221080935

Qualitative Research – a practical guide for health and social care researchers and practitioners Copyright © 2023 by Darshini Ayton is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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The SAGE Encyclopedia of Qualitative Research Methods

• Lisa M. Given - Swinburne University, Australia, Charles Sturt University, Australia, RMIT University, Melbourne, Australia
• Description

Qualitative research is designed to explore the human elements of a given topic, while specific qualitative methods examine how individuals see and experience the world. Qualitative approaches are typically used to explore new phenomena and to capture individuals' thoughts, feelings, or interpretations of meaning and process. Such methods are central to research conducted in education, nursing, sociology, anthropology, information studies, and other disciplines in the humanities, social sciences, and health sciences. Qualitative research projects are informed by a wide range of methodologies and theoretical frameworks.

The SAGE Encyclopedia of Qualitative Research Methods presents current and complete information as well as ready-to-use techniques, facts, and examples from the field of qualitative research in a very accessible style. In taking an interdisciplinary approach, these two volumes target a broad audience and fill a gap in the existing reference literature for a general guide to the core concepts that inform qualitative research practices. The entries cover every major facet of qualitative methods, including access to research participants, data coding, research ethics, the role of theory in qualitative research, and much more—all without overwhelming the informed reader.

Key Features

• Defines and explains core concepts, describes the techniques involved in the implementation of qualitative methods, and presents an overview of qualitative approaches to research
• Offers many entries that point to substantive debates among qualitative researchers regarding how concepts are labeled and the implications of such labels for how qualitative research is valued
• Guides readers through the complex landscape of the language of qualitative inquiry
• Includes contributors from various countries and disciplines that reflect a diverse spectrum of research approaches from more traditional, positivist approaches, through postmodern, constructionist ones
• Presents some entries written in first-person voice and others in third-person voice to reflect the diversity of approaches that define qualitative work
• Approaches and Methodologies
• Arts-Based Research, Ties to
• Computer Software
• Data Analysis
• Data Collection
• Data Types and Characteristics
• Dissemination
• History of Qualitative Research
• Participants
• Quantitative Research, Ties to
• Research Ethics
• Textual Analysis, Ties to
• Theoretical and Philosophical Frameworks

The SAGE Encyclopedia of Qualitative Research Methods is designed to appeal to undergraduate and graduate students, practitioners, researchers, consultants, and consumers of information across the social sciences, humanities, and health sciences, making it a welcome addition to any academic or public library.

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• Approximately 500-600 encyclopedia entries (broken out approximately as follows: 100 long entries of 2,000 words; 350 medium entries of 1,000 words; 75 biographies and definitional entries of 400 words);
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