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
