中国全科医学2026，Vol.29Issue(32)：4710-4715,6.DOI:10.12114/j.issn.1007-9572.2026.0018
质性研究受访者样本量操作框架解读和案例解析
Interpretation of the Qualitative Framework for Operationalizing Respondent Sample Size and Case Analyses
摘要
Abstract
In qualitative research,data saturation is widely used to judge whether a respondent sample size is sufficient.Nevertheless,there remains no widely accepted definition of what constitutes"reaching saturation".Operational guidance for implementing and reporting saturation-based decisions is also limited.To address this methodological gap,Clarissa Hsu's team proposed the Qualitative Framework for Operationalizing Respondent Sample Size(Q-FORS)in 2025.Q-FORS synthesizes 11 domains,such as the study purpose,conceptual framework,sampling and recruitment strategies,and approaches to data collection and analysis,to support a structured appraisal of data adequacy and to promote more transparent sample-size decision-making in qualitative studies.This article introduces Q-FORS and illustrates its application using concrete examples.It aims to provide health-related qualitative researchers in China with a structured yet flexible tool for reasoning about sample size,thereby improving the transparency and rigor of sample-size decision-making and reporting in qualitative research.关键词
质性研究/样本量/饱和度Key words
Qualitative research/Sample size/Saturation分类
医药卫生引用本文复制引用
付洁,蒋梦瑶,蔡纯,王君慧..质性研究受访者样本量操作框架解读和案例解析[J].中国全科医学,2026,29(32):4710-4715,6.基金项目
湖北省自然科学基金资助项目(2023AFB1118) （2023AFB1118）
湖北省卫生健康科技项目(WJ2025M163) （WJ2025M163）
