Process / pipelineMixed methods design

Design-Based Mixed Methods Meta-Inference

Design-based mixed methods meta-inference is the overarching conclusion drawn by explicitly integrating the separate quantitative and qualitative inferences from a mixed methods study, with the integration logic anchored to the a priori research design. Rather than treating quantitative and qualitative results as parallel outputs, the approach requires the researcher to specify — at the design stage — how and why the two strands will be combined, and then to construct a unified meta-inference that is consistent with that design rationale.

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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

Referenced by

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