Collecting and preparing qualitative data Flashcards
What are the qualities of a good research plan?
Needs to be broadly defined and open, incorporating the theoretical framework and ethics, not just the methods for both generating and analysing the data. The chosen data collection and analysis methods should be appropriate for the research question being asked, and the method of collection should generate data appropriate to that method of analysis
What are the 3 different routes to guide research design?
1) Organisation by research question type - e.g. if you’re looking for people’s experiences this would be best supported by an interview method of data collection while a question looking at understanding/perceptions might be best supported by a focus group method. The question will also dictate what are the most suitable methods of data analysis and sample size
2) Organisation by method of data collection - e.g. interactive data collection methods such as interviews, ppt-generated textual data such as surveys, or secondary sources. Data collection method will guide how much data might be needed (although this will also be influenced by particular research question, type of analysis chosen, richness of data etc. Remember the research plan is only broadly defined, specifics will be worked out in the process) and also which methods of analysis are/are not suitable
3) Organisation by method of data analysis - e.g. thematic analysis. Methods of analysis will influence the types of questions that can be asked, suitable types of data, how much data might be needed and what sampling approach to use
How should sampling strategies be chosen?
In such a way that they yield rich information and are consistent with the methodological approach being used i.e. need to make sure you have a large enough sample to obtain enough data to adequately answer the question you’re asking.
What are qualitative research samples generally like?
Smaller than for quantitative research (usually around 15-30 ppts, and any more than 50 would be considered a large sample)
What is the amount of data i.e. sample size we need driven by?
What you want to know, what will have credibility, and also what is possible with time and resources (e.g. interviews will be more time consuming than surveys)
Also the concept of saturation i.e. the point at which additional data stops being new information. More ppts will be needed if the topic is broad, if the topic is sensitive/less accessible (because individuals might provide less detailed info), or if the data is “shallow” e.g. data from qualitative surveys. The less info from each ppt, the more ppts you need
EXAMPLE - Study exploring men’s experiences of their bodies (broad) using surveys (shallow) would generally require more ppts than a study into men’s experiences of anorexia (narrow) using in-depth interviews
What is an important consideration in sampling?
Inclusion criteria - we want to yield rich information while also being consistent with our research question and methodology
What are the 6 possible sampling methods?
1) Purposive - identify characteristics you need, develop a list of potential participants and invite them to participate
2) Snowballing - choose the first participant based on their profile (purposive) and then ask them to identify others
3) Convenience - Find the correct location and choose those most likely to cooperate. These ppts will often be self-selected e.g. responding to an advert, so these are generally far broader samples. A classic example of this is usually uni students
4) Stratification - sampling to ensure that the range and diversity of different groups in a population are represented in the sample (variation might be demographic or phenomenal)
5) Theoretical sampling - Sampling becomes an interative process where data analysis and theory development shapes selection of subsequent ppts to elaborate the developing theory
6) Criterion sampling - in some instances the data set will have a specific criterion e.g. may be sampling for a specific event/issue, and in this scenario you would sample all or some of the data meeting that criterion
What is a problem with the concept of saturation as a rationale for sample size?
It invokes a rather experiential/positivist model of qualitative research where data are collected to provide a “complete” and “truthful” picture of the object of study, a theoretical position not all qualitative research subscribes to
What is meant by inclusion/exclusion criteria for a sample?
Who DO we want to hear from and who do we not?
Sometimes the aim for sampling is to have a diversity of perspectives (maximum heterogeneity sampling), or the opposite (maximum homogeneity sampling), or something in between.
The most important thing to bear in mind is that we are not sampling different “types” of people with an aim to generalise to the rest of the population. For example, when a demographic variable such as sex or age is used it is because, by virtue of their sex, persons of one or other sex can provide certain information towards an analytic goal. It is not because the researcher wishes to generalise to other persons of the same sex.
What are the advantages of sampling “beyond the usual suspects”?
Generate better knowledge and also “give voice” to marginalised groups, “hidden populations” whose group membership may not be visible/may be stigmatised. These hidden populations overlap with hard-to-reach groups e.g. those who fall outside of sampling pools because they live rurally, those for whom participation could be risky, or those who have had negative experiences of research in the past
Summarise the 8 key considerations to make at recruitment stage?
1) Decide on a recruitment strategy i.e. who is our sample and how can we find and get them to participate? (should always start sampling very early because there is little way of knowing sometimes whether ppt recruitment will be easy or difficult)
2) Choose what to say when recruiting the ppts
3) Information for ppts
4) Collection of demographic data
5) Special considerations/populations
6) Rethinking recruitment strategy
7) Saturation
8) Incentives/”thank you” payments
The researcher must provide a detailed recruitment protocol that includes a justification for the approach proposed, a flow diagram of the stages of recruitment and a consideration of the measures in place to manage the risks to the participant e.g. whether there is need for a gatekeeper
What information should be provided for ppts?
Initially we need eye-catching adverts explaining to ppts why we need their expertise. At the early stage be cautious about revealing too much about the study and its aims. Also provide contact details. All recruitment materials and strategies need to be approved under the ethics protocol
Once recruited ppts should be informed in more detail of the scope and the practical/ethical elements of the project and they should be given a consent form
Why do we need demographic data in qualitative research?
Need to be able to reflect on a participant’s context when analysing their data - it is important to reflect on the relationship between results and sample. Other groups might hold different views/have different experiences so we need some way of judging which groups our ppts “belong to”
It is also an ethical consideration - makes sure we’re not just sampling the usual suspects
What are the different ways in which demographic data collection can vary?
It depends on the research question whether it is simply a tick sheet on a survey or whether you want the ppts defining themselves in their own words e.g. in a study of gender the latter would be better
What is CRITICAL regarding demographic information in qualitative research?
The information must never be used as a variable i.e. it isn’t something the data are analysed or interpreted on the basis of.
It cam be used to show the diversity of a sample or show particular characteristics of each ppt, but it is important only for the purpose of showing the limits of what we can claim and on what basis we can claim it