Qualitative research methods

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2. Qualitative research methods

A focus on understanding experiences and meaning

Marja J. Verhoef and Heather S. Boon

Chapter contents

Introduction43
Overview of qualitative research methods44
Qualitative theory44
Approaches to qualitative inquiry46
Ethnography46
Phenomenology46
Grounded theory47
Case study47
Biography47
Data collection strategies47
Personal interviews48
Focus groups48
Observation49
Existing documents49
Sampling50
Data analysis50
Assessing the quality of qualitative research51
Qualitative research methods applied to CAM52
Examples of qualitative research53
Understanding meaning shifts53
Assessing outcomes of CAM interventions53
Developing a conceptual model of CAM decision-making54
Relevance of qualitative studies55
Combined methods research55
Adding qualitative inquiry to randomized controlled trials56
Early-phase research57
Relevance of combined methods research57
Conclusion57

Introduction

A wealth of information about complementary and alternative medicine (CAM) use is currently available. Although estimates vary, it is clear that many people are using CAM, often in conjunction with conventional health care treatments. Surveys tell us that reasons for CAM use include everything from ‘because it is natural and safe’ to ‘because no conventional treatments have helped’ or ‘because it allows me to play a more active role in my care’ (Boon et al., 2000 and Boon et al., 2003). Usually survey respondents are asked to select ‘all that apply’ from a list of general predetermined statements. However, in order to understand why people use CAM, we need to know more than percentages and measures of association. Making a decision to use CAM or assessing whether CAM works is dependent on a wide range of factors, such as individual patient and provider characteristics and beliefs, the patient–provider relationship and the patient’s social networks.
Further, many randomized controlled trials (RCTs) have looked at whether certain CAM therapies are efficacious, which usually means assessing if they change some predetermined biomedical parameter such as blood pressure or tumour size (Morreale et al., 1996, Goertz et al., 2002 and Streitberger et al., 2003). These trials, however, do not tell whether and how patient-related factors contribute to evidence of efficacy.
Qualitative research methods are the most appropriate approach to understanding phenomena such as why and how people decide to use CAM, or why and how complex CAM interventions work. Qualitative research is based on the assumptions underlying a naturalistic research paradigm. These assumptions are related to the nature of reality, the relationship between the researcher and the research participant and the notion that phenomena are time-, context- and value-bound (Lincoln & Guba 1985). These assumptions make qualitative research eminently suitable to examine complex phenomena related to CAM and set the context for understanding what kind of questions are best answered using qualitative methods and what data collection methods or analysis techniques are best suited to find these answers.
This chapter is divided into two parts. In the first part we review the theoretical underpinnings of qualitative research and identify the different qualitative approaches including their associated data collection techniques and analyses. In the second part of the chapter we focus on how qualitative methods can be used in CAM research.

Overview of qualitative research methods

Qualitative theory

Research paradigms define the world view and thus the context in which research takes place (Lincoln & Guba 2000). Three primary concepts are encompassed in paradigms: ontology (beliefs about the nature of reality); epistemology (what is knowable or what can be studied); and methodology (the best way of gaining knowledge about the world). Table 2.1 summarizes some of the fundamental differences between qualitative and quantitative paradigms of inquiry.
Table 2.1 Qualitative versus quantitative research
Based on Verhoef & Vanderheyden (2007).
Research approach Qualitative Quantitative
Ontology (beliefs about the nature of reality) Constructionist/relativist Positivist/realist
Epistemology (theory of knowledge) Interpretivist/transactional Objectivist/duallist
Research purpose To explore little-known areas, describe complex processes or everyday experiences, develop theories or explanatory models, or to generate new ideas To describe attitudes, opinions, practices; predict or assess associations; measure change; establish cause and effect; add to knowledge base; test ideas or hypotheses
Research question What? Why? How? (classification/meaning) How many? Strength of association? (enumeration/causation)
Design Maximizes flexibility: natural setting, process-oriented Maximize scientific rigour: highly controlled (outcome-oriented), often experimental design
Reasoning Inductive Deductive
Sampling Purposive (evolving) Statistical (predetermined)
Data collection Indepth interviews, focus groups, observation Structured interviews, questionnaires, administrative records, clinical tests
Measurement Researcher as instrument (‘insider view’/subjective) Psychosocial/physiological instruments (‘outsider view’/objective)
Data reduction Phrases/categories/themes Means/categories/codes
Data analysis Coding/categorizing/ comparing Statistical inference/statistical estimation
Quantitative research is generally approached from a positivist or realist ontological perspective. Generally speaking, this perspective embraces the idea that there is a ‘real’ world that can be observed and understood (Lincoln & Guba 2000). In contrast, qualitative research is based on a constructionist (also known as a social constructivist) paradigm which is closely aligned with the ontological assumption of relativism (Schwandt 2000). Those who adopt this paradigm generally reject the idea that there is an intrinsic reality that one can ‘find’ or ‘know’. This perspective emphasizes that ‘truth’ is both socially constructed and historically situated. A key underlying assumption is that all human knowledge is developed, transmitted and maintained through social processes (Berger & Luckmann 1967). Research guided by this paradigm generally strives to uncover ways in which individuals and groups perceive reality and participate in its creation. This approach is particularly well suited to research that attempts to understand individuals’ perceptions of the world and their relationships within the world.
Quantitative and qualitative researchers also differ in terms of their epistemological approaches. While quantitative researchers approach questions from a dualist or objectivist standpoint (the assumption that it is possible to find an objective truth that is perspective-free), qualitative researchers take an interpretivist or transactional approach. This perspective suggests that the qualitative researcher and the research participants are inseparably linked, mutually creating knowledge in an interdependent manner to facilitate understanding of the phenomena under study (Lincoln & Guba 2000). This perspective is particularly suited to understanding personal experiences, how individuals make sense of experiences and the meanings they attach to their experiences. Thus, qualitative research assists in understanding individuals’ actions and interactions. A key approach in this tradition is called symbolic interactionism (Schwandt 1994). A fundamental assumption of this approach is that to understand the world, one must analyse individuals’ actions and interactions. This involves actively engaging those who are being studied (Blumer, 1969 and Schwandt, 1994).
The theoretical context briefly described above sets the context for how and when qualitative methods are best chosen. Qualitative research answers questions that include the words ‘why’ and ‘how’. Why do people choose to use CAM? How is acupuncture experienced? Why do some people do better in clinical trials than others? How does a homeopathic consultation have an impact on an individual’s life? Qualitative research is particularly useful to describe areas in which currently not much is known; explore social processes (e.g. decision-making); develop instruments (e.g. quantitative surveys); and create theoretical models.

Approaches to qualitative inquiry

Multiple approaches exist to qualitative research, each of which is rooted in different philosophical traditions resulting in different ways of framing the problem and, thus, the inquiry. We briefly discuss five common approaches (Creswell, 1998 and DePoy and Gitlin, 1998).

Ethnography

This approach is rooted in anthropology and is concerned with the description and interpretation of cultural patterns of groups and the understanding of the cultural meanings people use to organize and interpret their experiences. In such studies the researcher studies the meaning of behaviour, language and interactions of the ‘culture-sharing’ group, for example a hospital, a health unit, or the different ways in which pain is expressed by men and women.

Phenomenology

The purpose of phenomenology is to uncover the meaning of how humans experience phenomena through the description of those experiences as they are lived by individuals. For example, what is the meaning of healing to women with cancer, or, what is the meaning of fear of dementia in ageing people? This approach is different from ethnography because it focuses on experiences from the perspective of the individual rather than understanding a group or cultural pattern.

Grounded theory

Grounded theory is a method that is primarily used to develop a theory or conceptual model. Usually the researcher begins with a broad query in a particular topic area and then collects relevant information about the topic. As data collection continues, each new piece of information is reviewed, compared and contrasted with earlier collected information. From this constant comparison process commonalities and dissimilarities among categories of information become clear and ultimately a theory that explains the observations is inductively developed. For example, this approach could be used to develop a theory of how people diagnosed with cancer decide whether or not to use CAM or to explain why some people refuse conventional treatment options.

Case study

Case studies include either indepth analyses of single cases or comparison across multiple cases (Yin 2003). Usually data collection spans a variety of sources including documents, interviews and observation. Data from different sources are triangulated (i.e. information collected using different strategies is used to examine the same phenomenon from different perspectives) to provide an indepth view of each case. When multiple cases are available, analysis is first completed on a case-by-case basis and then cross-case comparisons are made (Miles and Huberman, 1994 and Stake, 2006). For example, this approach may facilitate identification of success factors for integrative clinics where each clinic is analysed as a separate case.

Biography

A biographical study is the investigation of an individual and his or her experiences as told to the researcher or found in documents and archival material (Creswell 1998). Life history inquiry is a form of a biographical study, and this focuses on the individual life course. This type of research is concerned with eliciting life experiences and with how individuals interpret and attribute meanings to these experiences (DePoy & Gitlin 1998).

Data collection strategies

Rather than an etic perspective, as used in quantitative research, in which understanding is developed by those who are external to the group or population under study, qualitative researchers explore reality from an emic perspective – ‘understanding life from the perspective of the participants in the setting under study’ (Morse & Field 1995). This means that data collection examines everyday life in an uncontrolled naturalistic setting. Since qualitative research has been embraced by a number of different social science disciplines (e.g. anthropology, sociology and philosophy), each with different epistemological underpinnings, a number of different methods for data collection have been developed.
Qualitative data can be gathered from interviews, focus groups, recordings of conversations, direct (or recorded) observations and documents of all kinds. Choice of a data collection strategy is driven primarily by the research question. Other factors that are likely to influence the data collection strategy include constraints of the setting, the potential participants and resources available to the researcher (Creswell 1998). Each of these strategies is further outlined below.

Personal interviews

Interviews are the main data collection method employed by qualitative researchers. Interviewing techniques vary from semistructured interview schedules that ensure all participants are asked to discuss the same topics to completely unstructured interviews or narratives where the participant primarily determines what is discussed (Berg, 1995 and Morse and Field, 1995). Unstructured interviews are generally used when the researcher knows very little about the topic and is unable to prepare a series of questions because s/he doesn’t know what to ask. In this case it is best simply to let the participants tell their stories. Semistructured interviews are used for more focused inquiries where the researcher knows many of the key topics of interest. Questions are worded so that they are open-ended and the interviewer should allow the participant to guide the order in which the topics are discussed. For example, if the participant begins talking about question 5 when answering question 2, the interviewer should follow the participant’s lead by probing about question 5. The questions that have been skipped can be addressed later in the interview. To enhance semistructured interviews it is important to maintain a conversational flow with the participants. Interviews are usually audio-recorded. Face-to-face interviews are best to establish rapport with the participant; however, telephone interviews can facilitate data collection across greater physical distances. An advantage of individual interviews is the ability to elicit information about a specific process or changes over time. Interviews allow the investigation of indepth personal experiences of phenomena and can be particularly useful when discussing sensitive (personal) topics. The two main disadvantages of individual interviews are the fact that they can be time-consuming and expensive. For example, usually no more than two interviews can be scheduled in a single day and analysis of individual interview transcripts is often very time-intensive. Costs related to travel, interviewer time and transcription can make individual interviews too expensive for large studies.

Focus groups

One way to minimize costs and decrease data collection time is to interview participants in groups, usually called focus groups. Typically, focus groups consist of six to eight individuals who share some characteristics (e.g. disease diagnoses; experience of a therapy) and a trained moderator leads the group through a discussion of predetermined topics (Morgan 1998). Focus groups are very useful for gathering a wide range of opinions quickly or to develop consensus guidelines in a group process. Another advantage of focus groups is the ability to capture and analyse interactions between individuals attending the group, for example, one participant trying to explain his/her point of view to another participant, or disagreements that arise between group members. This also emphasizes the need for a skilled moderator who can ensure everyone has an opportunity to express his/her views and that one participant does not unduly influence the opinions of others. Since it is necessary to schedule multiple individuals to attend each group, focus groups do not work well with individuals who are difficult to schedule, such as busy physicians.

Observation

Observation is another way to explore the interaction of participants with each other (Lincoln & Guba 1985). The main purpose of observation is to collect data about participants in a natural setting. Observation is often used to provide breadth and context that cannot be achieved by interviews alone. However, it can be time-consuming and expensive, so it needs to be justified based on the research question and the value it can add needs to be clearly specified (Morse and Field, 1995 and Creswell, 1998). Consent is an important issue to consider when designing a study that includes an observational component. Generally ethics boards permit observational data collection in public spaces without obtaining the informed consent of those being observed. However, observation of patients in health care settings, or clinicians interacting with each other in integrated clinics, requires the consent of those being observed. Observational strategies are generally categorized by the degree of researcher involvement in the setting and range from complete participation of the researcher (e.g. a naturopathic doctor who is also a PhD student observing how fellow practitioners interact with patients and other clinicians in an integrative clinic) to complete observer (e.g. a sociologist observing patients receiving acupuncture treatments). The former is challenging due to issues related to informed consent (ensuring consent of those being observed or justifying why the intent to observe cannot be disclosed to those being observed) and the difficulty the participant observer is likely to have with objectivity (it is difficult to maintain the work role while taking a researcher perspective). The latter has the disadvantage of not permitting the researcher to ask questions or clarify what is happening, which can lead to misinterpretation of what is being observed. In practice, normally some compromise between these two extremes is found to be the best way to collect data using observation techniques (Lincoln and Guba, 1985 and Morse and Field, 1995).

Existing documents

Finally, any written document can be used for qualitative inquiries. Diaries, letters, personal notes and official documents can all inform the investigation. Although qualitative analysis is most easily performed on written texts, increasingly photographs, works of art, videos and performance art are also considered as sources of data for qualitative inquiry. Ultimately, the source of data and the data collection technique should be driven by the research question.
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