Process / pipelineMixed methods design
Mixed Methods Meta-Inference — Integrated Overall Inference in Mixed Methods Research
Mixed 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.
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Sources
- Teddlie, C., & Tashakkori, A. (2009). Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences. Sage. ISBN: 978-0761930129
- Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731
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Referenced by
Concurrent Mixed Methods Meta-InferenceEmbedded mixed methods meta-inferenceEvaluation-oriented mixed methods meta-inferenceMixed Methods MatrixQualitative-dominant mixed methods matrixQualitative-dominant mixed methods meta-inferenceQuantitative-dominant mixed methods meta-inferenceQuantitative-dominant pragmatic mixed methods