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Meta-inference založená na převaze kvalitativních metod v rámci smíšených metod×Explorativní sekvenční smíšený design×
OborDesign výzkumuDesign výzkumu
RodinaProcess / pipelineProcess / pipeline
Rok vzniku2003–20101990s–2000s (codified by ~2007)
TvůrceAbbas Tashakkori & Charles TeddlieJohn W. Creswell & Vicki L. Plano Clark
TypMixed methods integration strategyMixed methods research design
Původní zdrojTashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Další názvyQUAL-dominant meta-inference, qualitative-priority meta-inference, qual-dominant MMR meta-inference, qualitative-weighted mixed methods integrationQUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Příbuzné66
ShrnutíQualitative-dominant mixed methods meta-inference is the overarching inference-drawing process in a mixed methods study where qualitative findings carry primary explanatory weight. Meta-inference — the integrated conclusion drawn by combining qualitative and quantitative strands — is anchored to and interpreted through the richer, theoretically foregrounded qualitative findings, with quantitative results serving a supplementary, corroborating, or contextualizing function.The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.
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ScholarGatePorovnat metody: Qualitative-dominant mixed methods meta-inference · Exploratory Sequential Mixed Methods Design. Získáno 2026-06-17 z https://scholargate.app/cs/compare