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Updated: Jul 9, 2026

Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
What have sampling and data collection got to do with good qualitative research?
Lisa Gibbs1, Michelle Kealy, Karen Willis
1The McCaughey Centre, VicHealth Centre for Promotion of Mental Health and Community Wellbeing, School of Population Health, University of Melbourne, Victoria, Australia. lgibbs@unimelb.edu.au
Rigorous sampling and data collection in qualitative interviews are crucial for generating strong evidence. Clear reporting of these methods ensures the reliability and applicability of findings for public health decisions.
Area of Science:
- Qualitative Research Methodologies
- Public Health Practice and Policy
Background:
- Qualitative interview studies are vital for in-depth understanding.
- The quality of evidence from these studies hinges on methodological rigor.
Purpose of the Study:
- To emphasize the critical role of sampling and data collection in qualitative research.
- To discuss how these processes influence evidence strength for public health policy.
Main Methods:
- Discussion informed by a hierarchy-of-evidence-for-practice model.
- Guidelines provided for sampling and data collection in qualitative interview studies.
- Exploration of community immersion, theoretical guidance, and data confirmation through sampling.
Main Results:
- Sampling and data collection directly determine study quality and generalizability.
- Theory guides sample selection for rich data and understanding emerging issues.
- Reporting these processes allows for assessment of evidence strength and application.
Conclusions:
- Sampling and data collection must align with research goals and theoretical considerations.
- Ensuring diverse participant perspectives and transparent reporting of limitations is essential.
- Methodological rigor in these areas enhances the impact of qualitative findings on public health.
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