Evaluate Quality in Qualitative Research Flashcards
Yardley (2000) proposed a set of flexible principles for evaluating the quality of a qualitative study, whilst remaining sensitive to the diversity of qualitative approaches
What are the 4 principles?
1) Sensitivity to context
2) Commitment and rigour
3) Transparency and Coherence
4) Impact and importance
What is sensitivity to context?
Awareness of broader context that the research is conducted in
Awareness of broader context that the research is conducted in
This is known as…?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
a) Sensitivity to context
Considers the relevant literature and previous related empirical work
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
a) Sensitivity to context
Considers ‘common sense’ concepts and assumptions (e.g. philosophical stance)
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
a) Sensitivity to context
Considers socio-cultural setting (of all participants, including the researcher)
25/04/2021
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
a) Sensitivity to context
What is Commitment and Rigour?
- The deep prolonged engagement with the topic and data
- The completeness of data collection
- The deep prolonged engagement with the topic and data
- The completeness of data collection
This is known as…?
Commitment and Rigour
Completeness of data collection
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
There is no magic number for Qualitative research. There’s no specific amount of interviewees or Ps there should be in a qualitative study
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
Samples are purposive – collect enough data to address the question. Quality of research can either be based on the number of recruited participants or how homogenous/heterogenous they are
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
Aim for data saturation – the point at which no new ideas are drawn from the data
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
There are 4 things that make up commitment and rigour. What are they?
1) Completeness of data collection
2) Completeness of analysis
3) Triangulation
4) Validation
One of the problems with qualitative analysis is that themes become paraphrased data which lack analytic narrative
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
One of the problems with qualitative analysis is that themes are summaries of interview questions or accounts from a single interviewee rather than a description of the pattern across data sets
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
One of the problems with qualitative analysis is that themes are unrelated, overlap, vague, and not consistent with data examples
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
One of the problems with qualitative analysis is that alternatives are unconsidered (e.g. alternative interpretations of the data or negative cases within the data)
Which principle does this apply to?
a) Sensitivity to context
b) Commitment and rigour
c) Transparency and Coherence
d) Impact and importance
b) Commitment and rigour
1) Themes paraphrase data without providing an analytic narrative
2) Themes are summaries of interview questions or accounts from a single interviewee
3) Themes are unrelated, overlap, vague, and not consistent with data examples
4) Alternatives are unconsidered (e.g. alternative interpretations of the data or negative cases within the data)
These are all common problems for…?
Completeness of analysis (Commitment and Rigour)
In terms of commitment and analysis, what should qualitative researchers aim to do?
Aim for a complete interpretation that ideally addresses all of the variation and complexity observed in the data, and produces high-quality themes
It can require prolonged engagement with the data and iterative cycles of analysis phases
What is Triangulation?
Combining methods of data collection and analysis to gain a multi-layered understanding of the research topic
Combining methods of data collection and analysis to gain a multi-layered understanding of the research topic
This is known as…?
Triangulation