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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uamuzi Mkuu wa Mbinu Mseto×Muundo wa Mchanganyiko wa Mabadiliko×
NyanjaMuundo wa UtafitiMuundo wa Utafiti
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1998–20032003–2009
MwanzilishiAbbas Tashakkori & Charles TeddlieDonna M. Mertens; John W. Creswell & Vicki L. Plano Clark
AinaMixed methods integration procedureMixed methods research design
Chanzo asiliaTeddlie, 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: 978-1483344379
Majina mbadalameta-inference, mixed methods overall inference, integrated inference, MMR meta-inferencetransformative design, advocacy mixed methods, emancipatory mixed methods, social-justice mixed methods
Zinazohusiana66
MuhtasariMixed 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.Transformative mixed methods design embeds a social-justice or advocacy theoretical framework — such as feminism, critical race theory, disability studies, or indigenous worldviews — as the overarching lens that guides every decision about data collection, integration, and use. Both quantitative and qualitative strands serve the goal of advancing equity, challenging power structures, and producing actionable knowledge for marginalized communities.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Mixed Methods Meta-Inference · Transformative Mixed Methods Design. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare