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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. · ISBN 978-0761920731
- Tashakkori, A., & Teddlie, C. (Eds.). (2010). Sage Handbook of Mixed Methods in Social and Behavioral Research (2nd ed.). Sage. · ISBN 978-1412972666
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.