Σύγκριση μεθόδων

	Μεικτές Μέθοδοι Παρέμβασης με Επίκεντρο την Αξιολόγηση	Αξιολόγηση Προγράμματος
Πεδίο	Ερευνητικός Σχεδιασμός	Μέθοδοι Πεδίου
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2000s (systematized ~2007–2011)	1960s–1970s (Scriven 1967; Stufflebeam CIPP model 1971)
Δημιουργός	Creswell & Plano Clark (systematized); roots in evaluation research by Patton and Shadish	Michael Scriven; Daniel Stufflebeam; Peter Rossi
Τύπος	Mixed methods research design	Applied evaluation methodology
Θεμελιώδης πηγή	Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. ISBN: 978-1483346298	Rossi, P. H., Lipsey, M. W., & Freeman, H. E. (2004). Evaluation: A Systematic Approach (7th ed.). Sage. ISBN: 978-0761908944
Εναλλακτικές ονομασίες	intervention mixed methods evaluation, mixed methods intervention evaluation, program evaluation mixed methods, evaluation mixed methods	evaluation research, program assessment, educational evaluation, systematic program evaluation
Συναφείς	2	3
Σύνοψη	Evaluation-focused intervention mixed methods is a research design that embeds both quantitative and qualitative strands within an intervention or program evaluation study. It combines outcome measurement — typically from a randomized or quasi-experimental trial — with qualitative investigation of how and why the intervention worked, for whom, and under what conditions. The design is widely used in health, education, social service, and policy evaluation contexts where understanding mechanisms and context is as important as measuring effectiveness.	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.