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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- 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
- Tashakkori, A., & Teddlie, C. (Eds.). (2003). Handbook of Mixed Methods in Social and Behavioral Research. Sage. · ISBN 978-0761920731
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.
The generated relation graph has no outgoing relation for this method.