Description

This Master Prompt focuses on developing a transparent, theoretically and methodologically defensible participant-selection and sampling architecture for interview-based research. It guides researchers from defining the target population and unit of inquiry through establishing eligibility criteria, identifying appropriate knowledge holders, constructing or approximating a sampling frame, selecting a sampling strategy, recruiting participants, monitoring participation and attrition, representing relevant stakeholder perspectives, and determining when sufficient interview evidence has been generated. The central principle is that interview sampling should prioritize participants capable of providing information relevant to the research questions rather than treating sample size alone as evidence of methodological quality.