Evaluation-oriented multilevel mixed methods
Evaluation-oriented multilevel mixed methods is a research design that combines quantitative and qualitative data across hierarchically nested levels of an organization or system — such as students within classrooms within schools — to evaluate a program, policy, or intervention. By capturing outcomes, processes, and contextual factors simultaneously at each level, this design produces richer evaluative inferences than either purely statistical multilevel models or single-level qualitative evaluations alone.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Mertens, D. M. (2010). Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (3rd ed.). Sage. · ISBN 978-1412975551
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. · ISBN 978-1483358468
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.