1d Qualitative Research Methods Flashcards
What is the difference between qualitative and quantitative research?
Broadly speaking, qualitative research tends to answer the “why?” and “how?” questions surrounding public health topics, in contrast to quantitative methodologies which tend to focus on epidemiological estimates of prevalence and strength of associations between variables.
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
What is a “mixed method” approach to research?
One that uses both qualitivative and quantitiviative research together to gain a better overall undestanding of an area.
In what ways is sampling different in qualitative research than quantitative research?
Qualitative research studies may have smaller sample sizes compared to quantitative research, and are not concerned with statistical power.
Qualitative research deliberately uses non-probability samples (as apposed the the probabiltiy based random sampels of quantitative research) for selecting the study population.
In this approach participants are selected purposely because of specific characteristics, which are of relevance to the research question; this is called purposive sampling. As explained by Patton, “the power of [purposive] sampling lies in selecting information-rich cases to study in depth. Information-rich cases are those from which one can learn a great deal about issues of central importance. For example, specific participant characteristics may be considered important for the research, such as a particular age range, gender, ethnicity, or belief system.
In qualitative research the inclusion criteria may be adjusted as the research proceeds, for example if the researcher feels it would be beneficial to include “outliers”, “extreme cases”, or “divergent cases” to add depth to the emerging theory. This is possible as qualitative analysis often occurs simultaneously with data collection, which allows the researcher to ensure the data are collected from the most appropriate population, and this may not be clear at the outset.
Why does qualitative research generally have a smaller sample size than quantitative research?
There will come a point where very little new evidence is obtained from each additional fieldwork unit. This is because a phenomenon need only to appear once to be part of the analytical map. There is therefore a point of diminishing return where increasing the sample size no longer contributes new evidence. This is called theoretical saturation.
Second, statements about incidence or prevalence are not the concern of qualitative research. There is therefore, no requirement to ensure that the sample is of sufficient scale to provide estimates, or to determine statistically significant discriminatory variables.
Third, the type of information that qualitative studies yield is rich in detail. There will therefore be many hundreds of ‘bites’ of information from each unit of data collection. In order to do justice to these, sample sizes need to be kept to a reasonably small scale’.
What is theoretiecal saturation?
Theoretical saturation is the term used to describe the point at which no new contribution to the emerging findings is obtained from further analysis of interviews/focus groups/observations. Qualitative researchers should aim to reach theoretical saturation before concluding data collection to ensure that the pertinent concepts have been retrieved.
What is validity in terms of qualitative research?
In quantitative research, validity is defined as whether a particular measure does indeed measure what it is claimed to measure, as well as the quality and strength of the arguments that researchers put forward to substantiate claims about the reliability of their conclusions’.
Criticisms about its lack of generalisability, and the interpretive nature of analysis highlight misunderstandings about the qualitative methodology.
This validitiy can be assessed using:
Triangulation
Clear documentation of the research process
Supporting theory with quotes from the transcripts
Limitation
Falsification
Member Checking
Reflexivity
What is triangulation in relation to qualitative research?
Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena.
It may also be used to enhance interpretation by providing additional insights into the experience, for example by combining findings from observations with participant interviews to reach a more complete understanding of the issue or topic under investigation.
Why is clear documentation of the research process required in qualitative research?
Clear documentation of the methods involved in data collection and analysis, as detailed above, increases the trustworthiness of the research.
Why is supporting theory with quotes from the transcripts required in qualitative research?
Evidence to support interpretations, using primary data in the form of participant quotes, helps ensure that readers can trust that the investigator’s interpretations remain grounded in the data. Consent to use anonymous quotes should be obtained from all participants beforehand.
What is limitation in relation to qualitative research?
The process of testing how well the findings of the research (often known as the “theory” that has been generated from the primary data) fit the data, establishing the “limits” of the theory. It is accepted that the research findings will be relevant to certain contexts only, and by identifying and discussing “deviant” or “negative” cases – i.e. those that do not conform to the theory – it is possible to delimit the theory.
What is falsification in relation to qualitative research?
This is the approach in which theory generated from the primary analysis is then “falsified” against each participant case within the dataset, one by one. This process is also described as a core component of “Analytic Induction”. If the individual case does not “fit” with the theory then the theory is modified or adapted to incorporate the case.
What is member checking in relation to qualitative research?
When the analytical themes and interpretive findings are formally tested within the sample of participants from where the data arose in an attempt to enhance validity.
Whilst member checking can provide an opportunity to “test” early findings with participants, it also assumes a “true” reality that is fixed over time and can and should be corroborated by individual participants.
This stance conflicts with the interpretivist position that there is no objective “truth”; rather the learning and theoretical insight generated from the qualitative interviews should arise from the investigator’s immersion in the entire data.
It can be argued therefore that comparing the investigator’s interpretation with the participants’ understanding of their data is discordant with the interpretivist approach. Nevertheless, member checking is sometimes used as a means of enhancing the quality and reliability of qualitative research.
What is reflexivity in relation to qualitative research?
All high quality qualitative research should involve a discussion of the researcher’s reflexivity. This is a subjective examination of the extent to which the investigator’s own relationship with the topic, the participants, or settings may influence the research findings.
Furthermore, any theory used by the researcher to approach the study should be explicitly considered and documented, as this will influence the analytical process and the ultimate findings of the research.
What are Semi-structured interviews?
Semi-structured interviews are characterised by topic guides containing major questions that are used in the same way in every interview, although the sequence of the questions might vary as well as the level of probing for information by the interviewer.
Semi-structured interviewing is suitable when the researcher already has some grasp of what is happening within the sample in relation to the research topic.
Why might semi-strcutured interviwwing not work?
If the interviewee has a lack of awareness/information or is not used to putting feelings into words.
If interviewees feel exposed by questions (in particular where attitudes are probed in sensitive topics such as political attitudes, sexual orientation, borderline or illegal behaviour).
If interviewees might feel that they need to present themselves in a specific way in order to fit in with their perception of the researcher’s requirements, or wish to bring in their own agenda of life-topics that do not fit easily with the aim of the interview.
How can the interviewer and type of quesiton in a semi-structured interview redcue its limitations?
The researcher should ensure there is no danger of loss of meaning as a consequence of imposing a standard way of asking questions. This could be achieved by conducting pilot interviews (these use broad topic guides with few direct questions) prior to data collection.
The questions posed during the interview should be as open-ended as possible, in order to avoid yes/no or rehearsed answers.
The questioning techniques should encourage respondents to communicate their underlying attitudes, beliefs and values that are so central to this method.
Researchers should build a rapport with the interviewee before starting the interview so that both sides can feel more at ease.
Researchers should try posing questions in different ways and using probing and prompting help to elicit more information or steer the interview.
What are narrative interviews?
Unstructured interviewing (aka narrative interviews) allows the respondent to tell their own stories in their own words, with prompting by the interviewer.
The objective of the unstructured interview has been summarised as, ‘to elicit rich, detailed materials that can be used in qualitative analysis.
Its objective is to find out what kind of things are happening rather than to determine the frequency of predetermined kinds of things that the researcher already believes can happen’.
In an unstructured interview, the researcher simply has a list of topics that they want the respondent to talk about. But the way the questions are phrased and which order they come will vary from one interview to the next as the interview process is determined by the responses (stories) of the interviewees.
What are In-depth interviews?
In in-depth interviews the aim is to obtain a more detailed, rich understanding of the topic of interest. They usually comprise an ethnographic approach and complement participant observation or action research methods.
In in-depth interviews the participant’s experience, behaviour, feelings, and/or attitudes may be probed deeply to identify underlying concepts that the researcher analyses to generate a theory surrounding the research topic.
In-depth interviews are more structured than narrative interviews as the topic discussed will be directed by the researcher and they rarely involve stories or life histories. However in-depth interviews do allow the participant to communicate much more freely and to provide more detailed descriptions when compared to semi-structured interviews.
Sometimes interviewers do not reveal all the exact details of the research hypothesis when conducting in-depth interviews, as this may influence or “lead” the qualitative material obtained. Rather, the general area of interest is explained to the participant as part of recruitment and consent (see later in the chapter) and the interviewer directs the interview according to the responses.