방법 증거 기록

Quantitative-dominant mixed methods meta-inference

Quantitative-dominant mixed methods meta-inference is an integration procedure in which the researcher draws an overarching conclusion by combining inferences from both quantitative and qualitative strands, while explicitly assigning greater evidential weight to the quantitative results. The qualitative strand serves a supporting, elaborating, or contextualizing role rather than an equal voice in the final interpretation.

Sources recorded, not reviewed

원본 기록

방법의 원본 기록에서 그대로 복사된 인용입니다. 이로부터 수준별 검증이 추론되지 않습니다.

Quantitative-Dominant Mixed Methods Meta-Inference

분류학적 방법 기록 · process-pipeline / research-design

Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. · ISBN 978-0761920731
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. · ISBN 978-1483344379

전체 방법 열기

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관련 방법

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Taxonomic bucketConcurrent Triangulation Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExplanatory Sequential Mixed Methods Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMixed Methods Matrixmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMixed Methods Meta-Inferencemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantitative-dominant multilevel mixed methodsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantitative-priority mixed methods designmachine-suggested · Relational suggestion, not evidence.