Process / pipelineMixed methods design

Evaluation-Oriented Mixed Methods Meta-Inference

Evaluation-oriented mixed methods meta-inference is a rigorous concluding process in program evaluation research in which the researcher integrates inferences drawn from both quantitative and qualitative strands of a mixed methods study into a single, coherent, higher-order conclusion. This meta-inference is explicitly anchored to evaluation questions — such as program worth, merit, or impact — and is judged by dual quality criteria: inferential consistency and interpretive consistency across strands.

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Sources

  1. Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). SAGE Publications. ISBN: 978-1412972666
  2. Mertens, D. M. (2009). Transformative Research and Evaluation. Guilford Press. ISBN: 978-1606230541

Related methods

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