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Párhuzamos vegyes módszerű meta-következtetés×Feltáró Szekvenciális Vegyes Módszertani Tervezés×
TudományterületKutatástervezésKutatástervezés
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve20031990s–2000s (codified by ~2007)
MegalkotóAbbas Tashakkori & Charles TeddlieJohn W. Creswell & Vicki L. Plano Clark
TípusMixed methods research designMixed methods research design
AlapműTashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Alternatív nevekconcurrent meta-inference, simultaneous mixed methods meta-inference, parallel strand meta-inference, QUAN+QUAL meta-inferenceQUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
Kapcsolódó66
ÖsszefoglalóConcurrent mixed methods meta-inference is a research design in which quantitative and qualitative data strands are collected simultaneously and then subjected to a formal meta-inferential process — drawing a unified, overarching conclusion that transcends what either strand alone could produce. The concurrent timing means neither strand informs the collection of the other; instead, both strands converge at the analysis-integration stage where meta-inferences are constructed.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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ScholarGateMódszerek összehasonlítása: Concurrent Mixed Methods Meta-Inference · Exploratory Sequential Mixed Methods Design. Letöltve 2026-06-17, forrás: https://scholargate.app/hu/compare