Open AccessA Multi-Stage Approach to Qualitative Sampling within a Mixed Methods Evaluation: Some Reflections on Purpose and Process
Author(s) -
Purnima Ramanujan,
Suman Bhattacharjea,
Benjamin Alcott
Publication year - 2022
Publication title -
canadian journal of program evaluation/the canadian journal of program evaluation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 15
eISSN - 1496-7308
pISSN - 0834-1516
DOI - 10.3138/cjpe.71237
Subject(s) - randomized controlled trial , scale (ratio) , sampling (signal processing) , process (computing) , qualitative property , sample (material) , computer science , intervention (counseling) , multimethodology , psychology , process management , mathematics education , business , machine learning , geography , medicine , surgery , chemistry , cartography , filter (signal processing) , chromatography , psychiatry , computer vision , operating system
We share experiences from a mixed methods evaluation in rural India that combines a randomized controlled trial (RCT) of 400 villages with embedded case studies in four villages. Specifically, we present two lessons from the multi-stage sampling approach adopted to select the four case-study villages, which first prioritizedkey-informant observations regarding intervention status in order to shortlist locations and subsequently used data from the RCT’s baseline survey to select the final sample. In doing so, we highlight how large-scale mixed methods program evaluations in education can go beyond questions of “what works” to answering those of “how,” “why,” and “why not.”