Comparer des méthodes

	Conception de méthodes mixtes multiniveaux axée sur l'évaluation	Évaluation de programme
Domaine	Conception de la recherche	Méthodes de terrain
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s–2010s	1960s–1970s (Scriven 1967; Stufflebeam CIPP model 1971)
Auteur d'origine	Donna M. Mertens; John W. Creswell & Vicki L. Plano Clark (systematization)	Michael Scriven; Daniel Stufflebeam; Peter Rossi
Type	Mixed methods evaluation design	Applied evaluation methodology
Source fondatrice	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	Rossi, P. H., Lipsey, M. W., & Freeman, H. E. (2004). Evaluation: A Systematic Approach (7th ed.). Sage. ISBN: 978-0761908944
Alias	multilevel mixed methods evaluation, hierarchical mixed methods evaluation, MLM mixed methods, nested mixed methods evaluation	evaluation research, program assessment, educational evaluation, systematic program evaluation
Apparentées	2	3
Résumé	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.	Program evaluation is a systematic, empirically grounded process of collecting and analyzing information about a program to determine its merit, worth, or significance. Applied across education, public health, social services, and policy, it addresses questions such as whether a program is reaching its target population, whether it is being implemented as designed, and whether it is producing the intended outcomes. It draws on both quantitative and qualitative methods and serves accountability, improvement, or knowledge-generation purposes.