เปรียบเทียบวิธี

	Member Checking and Respondent Validation	เกณฑ์ความน่าเชื่อถือในการวิจัยเชิงคุณภาพ
สาขาวิชา	การวิจัยเชิงคุณภาพ	การวิจัยเชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1985	1985
ผู้ริเริ่ม	Yvonna Lincoln and Egon Guba	Yvonna Lincoln and Egon Guba
ประเภท	Method	Framework
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	member validation, respondent validation, participant feedback, credibility check	trustworthiness criteria, credibility, dependability, confirmability
ที่เกี่ยวข้อง	4	4
สรุป	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.