RM Qual 3 Flashcards
quality in quantitative research is usually assessed via its
- reliability
- internal validity
- external validity
Why can’t we assess qualty of qualitative research using quantitative methods
understanding indivs views and experience is more importnat than objective truth
- sometimes understanding phenomena in set contexts is more important than general laws
From a constructionist perspectve, bias is alwyays present anyway.
So is important for criteria to evaluate how well a study meets the goals of Qualitative research
diff types of quality criteria in qualititave research
- Quantitative scoring system
- criteria for specific types of analysis
- Flexible criteria for Qualitative research
-Each study evaluated within unique context of the research problem
Yardley (2000) set if principles to assess quality of quant research while remaining sensitive to the diversity of qualitative approaches
- sensitivity to context
- commitment and rigour
- Transparency and Coherence
- Impact and importance
how is sensitivity to context demonstrated in qualitative analyses
(as a method of assessing quality)
Awareness of broader context that research is conducted in :
- relevant literature and previous related empirical work
- ‘common sense’ concepts and Assumptions (e.g. philosophical stance) (also p.ps stance)
- socio-cultural setting (of all p.p including researcher)
how is commitment and rigour demonstrated in qualitative analyses
(as a method of assessing quality)
Completeness of data collection
- no. of pp. isn’t important
- samples are purposive- collect enough data to answer Q
- Aim for data saturation - the point at which no new ideas are drawn from the data
Commitment and rigour of qualitative research: Triangulation
Combining methods of data collection and analysis to gain a multi-layered understanding of the research topic
- combining diff perspectives
- combining diff analytical approaches
Commitment and rigour of qualitative research: Validation
Peer verification:
Respondent verification
how is Transparency demonstrated in qualitative analyses
(as a method of assessing quality)
Auditability:
- method details every aspect of data collection, rules used to code data, how stages progressed
- Findings present excerpts of of data
Reflexivity:
- discussion of experiences and motivations that led researcher to do investigation.
- Papers often use reflexive statement = who researcher is, what their assumptions were
how is coherence demonstrated in qualitative analyses
(as a method of assessing quality)
-narrative consistent with themes
-discussion links findings to existing knowledge
-Good fit between RQ and philosophical perspective method of investigation, and analysis conducted
How is impact and importance demonstrated in qualitative analyses
(as a method of assessing quality)
Discussion explains why findings are important and their potential impact
-Theoretical impact
- Practical impact
- Socio-cultural impact (think about problems)
Importance and impact can also be demonstrated by discussing Transferability e.g.
- degree to which results can be transferred to other contexts or settings
- use full description of participants including socio-cultural settings. Thick description
Mixed methods research embraces 2 diff analytical logics:
an exploratory/hypothesis generating one
-a confirmatory/hypothesis confirmation one
5 purposes of mixing methods
Triangulation - used to confidence in same phenomenon
Complementarity- diff methods investigate diff aspects of same phenomena to deepen interpretations and conclusions
Development - Results from one method used to inform development of other method
Initiation - diff methods to investigate diff aspects of same phenomenon
Expansion - diff methods to assess diff phenomena to expand scope of study
Mixed research is considered in terms of whether qual or quant is
concurrent vs sequential
Equal vs dominant
why would you use a preliminary quantitative study for qual research
helps guide data collection.
Can guide positive sampling, establish preliminary results to persue in depth.
why would you use a follow up quantitative study for qual research
helps evaluate and interpret results
Can generalise results to diff samples.
test elements of emergent theories etc.
quantitative design is commonly used for
validating existing knowledge and conclusions
quantitative design is usually used fr
exploratory insights
