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Vegyes módszerű metainferencia×Multiphase Mixed Methods Design×
TudományterületKutatástervezésKutatástervezés
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve1998–20032007 (first edition of Designing and Conducting Mixed Methods Research)
MegalkotóAbbas Tashakkori & Charles TeddlieJohn W. Creswell & Vicki L. Plano Clark
TípusMixed methods integration procedureMixed methods research design
AlapműTeddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483substitute
Alternatív nevekmeta-inference, mixed methods overall inference, integrated inference, MMR meta-inferencemultiphase design, multiproject mixed methods, programmatic mixed methods, multistage mixed methods
Kapcsolódó66
ÖsszefoglalóMixed methods meta-inference is the overarching conclusion drawn at the end of a mixed methods study by systematically combining and integrating the separate inferences produced by the quantitative and qualitative strands. It represents the highest-level interpretive act in mixed methods research: moving beyond strand-specific findings to produce a unified, coherent understanding of the research problem that neither strand could yield alone.The multiphase mixed methods design is a sustained research program in which quantitative and qualitative strands are combined across three or more sequential phases — or across multiple related projects — to address a central program objective. Each phase builds on the prior phase's findings, making the design well-suited to long-term evaluation, intervention development, and large-scale program assessment where a single data-collection cycle cannot fully address the complexity of the research problem.
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ScholarGateMódszerek összehasonlítása: Mixed Methods Meta-Inference · Multiphase Mixed Methods Design. Letöltve 2026-06-17, forrás: https://scholargate.app/hu/compare