Process / pipelineMixed methods design

Concurrent Mixed Methods Meta-Inference

Concurrent mixed methods meta-inference is a research design in which quantitative and qualitative data strands are collected simultaneously and then subjected to a formal meta-inferential process — drawing a unified, overarching conclusion that transcends what either strand alone could produce. The concurrent timing means neither strand informs the collection of the other; instead, both strands converge at the analysis-integration stage where meta-inferences are constructed.

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Sources

  1. Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. ISBN: 978-0761920731
  2. Tashakkori, A., & Teddlie, C. (Eds.). (2010). Sage Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage. ISBN: 978-1412972666

Related methods

Referenced by

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