Are qualitative methods misunderstood?

Area of Science:

• Health Research Methodology
• Qualitative Research Evaluation
• Interpretative Social Science

Background:

• Qualitative research methods are increasingly adopted in health research.
• Assessment criteria for qualitative research quality are evolving.
• Recognizing the distinct epistemology of qualitative versus statistical methods is crucial.

Purpose of the Study:

• To critique the use of outdated natural science methodologies for assessing bias in qualitative health research.
• To advocate for an interpretative social science approach to evaluating qualitative research.
• To highlight the importance of considering social contexts in qualitative data production and analysis.

Main Methods:

• Analysis of a recent article in the Australian and New Zealand Journal of Public Health.
• Application of interpretativist social science theory.
• Referencing recent work from the British Medical Journal.

Main Results:

• The analyzed article employs an outdated natural science model for assessing bias in focus groups.
• There is a need to move beyond traditional scientific assessment criteria.
• Qualitative data is influenced by the social contexts in which it is generated.

Conclusions:

• Health researchers must adopt interpretative social science models for evaluating qualitative research.
• Assessing bias using natural science frameworks is inappropriate for qualitative data.
• Understanding the social context is essential for rigorous qualitative health research.