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The quality of qualitative research
Marinus H van IJzendoorn1, Siebren Miedema2
1Research Department of Clinical, Education and Health Psychology, UCL, London, UK m.ijzendoorn@ucl.ac.uk.
Medical Humanities
|June 18, 2024
Summary
This study outlines quality criteria for qualitative research, focusing on intersubjective replicability. It details reliability and validity measures for data collection and analysis, ensuring research authenticity.
Area of Science:
- Social Sciences
- Research Methodology
Background:
- Assessing the quality of qualitative research is crucial for its scientific rigor.
- Existing frameworks often lack specific criteria for ensuring replicability and validity.
Purpose of the Study:
- To define and elaborate on the quality criteria for qualitative research.
- To establish a framework for ensuring intersubjective replicability in qualitative studies.
Main Methods:
- Discussing reliability and validity as core components of intersubjective replicability.
- Differentiating between 'argumentative' reliability (data collection) and 'technical' reliability (data analysis).
- Presenting three validation approaches: 'communicative', 'critical', and 'empirical' validation.
Main Results:
- Intersubjective replicability is presented as the overarching quality requirement.
- 'Argumentative' reliability is sufficient for data collection, while 'technical' reliability is needed for data analysis.
- Three distinct approaches to validation are proposed, each contributing to the overall authenticity of the research.
Conclusions:
- The proposed criteria enhance the rigor and trustworthiness of qualitative research.
- Clear guidelines for reliability and validity improve the consistency and comparability of qualitative findings.
- The validation approaches offer practical methods for researchers to assess and improve the authenticity of their work.
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