Methoden vergleichen

	Methoden der qualitativen Evidenzsynthese	Vertrauenswürdigkeitskriterien in der qualitativen Forschung
Fachgebiet	Qualitative Forschung	Qualitative Forschung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1988	1985
Urheber	George Noblit and Dwight Hare	Yvonna Lincoln and Egon Guba
Typ	Method	Framework
Wegweisende Quelle	Noblit, G. W., & Hare, R. D. (1988). Meta-ethnography: Synthesizing Qualitative Studies. SAGE Publications. ISBN: 978-0803931725	Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications. ISBN: 978-0803924314
Aliasnamen	qualitative meta-synthesis, meta-ethnography, thematic synthesis, systematic review of qualitative studies	trustworthiness criteria, credibility, dependability, confirmability
Verwandt	4	4
Zusammenfassung	Qualitative evidence synthesis (QES) is a systematic method for combining and interpreting findings from multiple qualitative research studies to generate higher-level understanding and theory. Different approaches—meta-ethnography, thematic synthesis, meta-narrative review, critical interpretive synthesis—each have distinct philosophical underpinnings and analytical procedures. Introduced by Noblit and Hare (1988) with meta-ethnography, qualitative synthesis has evolved alongside systematic reviews of quantitative research. Unlike quantitative meta-analysis, which pools numerical effect sizes, qualitative synthesis integrates concepts, themes, and interpretations from primary studies, identifying patterns, conflicts, and emergent theory. QES is increasingly used in health research, social sciences, and education to understand complex phenomena, translate research into practice, and identify gaps in evidence.	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.