방법 비교

	멤버 확인(Member Checking) 및 응답자 검증(Respondent Validation)	Trustworthiness Criteria in Qualitative Research
분야	질적 연구	질적 연구
계열	Process / pipeline	Process / pipeline
기원 연도	1985	1985
창시자	Yvonna Lincoln and Egon Guba	Yvonna Lincoln and Egon Guba
유형	Method	Framework
원전	Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications. ISBN: 978-0803924314	Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications. ISBN: 978-0803924314
별칭	member validation, respondent validation, participant feedback, credibility check	trustworthiness criteria, credibility, dependability, confirmability
관련	4	4
요약	Member checking is a quality assurance procedure in qualitative research in which the researcher shares preliminary findings, interpretations, or analytical themes with research participants and asks whether the findings accurately reflect their perspectives and experiences. Developed by Lincoln and Guba (1985) as a trustworthiness criterion, member checking is considered a key method for ensuring credibility and reducing researcher misinterpretation. The goal is to verify that the researcher has understood participants correctly and that interpretations are grounded in participants' actual meaning-making, not the researcher's assumptions. Member checking can occur at different points in research (after individual interviews, after initial analysis, or after draft findings are written) and take different forms (individual feedback, group validation, interactive discussion).	Trustworthiness is a framework for evaluating the quality and rigor of qualitative research, developed by Lincoln and Guba (1985) as an alternative to quantitative criteria (internal validity, external validity, reliability, objectivity). The framework comprises five criteria: credibility (findings are accurate and grounded in data), transferability (findings apply to other contexts), dependability (findings are consistent and defensible), confirmability (findings reflect the data and participants' perspectives, not researcher bias), and authenticity (research reflects diverse viewpoints and promotes understanding). This framework has become standard for assessing qualitative research across disciplines and guides researchers in designing and reporting rigorous qualitative studies.