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

  1. 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
  2. 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

ScholarGateMixed Methods Meta-Inference (Mixed Methods Meta-Inference). Retrieved 2026-06-04 from https://scholargate.app/en/research-design/mixed-methods-meta-inference