Data Analysis and Synthesis Within a Realist Evaluation: Toward More Transparent Methodological Approaches

Abstract

Realist evaluations are increasingly used in the study of complex health interventions. The methodological procedures applied within realist evaluations however are often inexplicit, prompting scholars to call for increased transparency and more detailed description within realist studies. This publication details the data analysis and synthesis process used within two realist evaluation studies of community health interventions taking place across Uganda, Tanzania, and Kenya. Using data from several case studies across all three countries and the data analysis software NVivo, we describe in detail how data were analyzed and subsequently synthesized to refine middle-range theories. We conclude by discussing the strengths and weaknesses of the approach taken, providing novel methodological recommendations. The aim of providing this detailed descriptive account of the analysis and synthesis in these two studies is to promote transparency and contribute to the advancement of realist evaluation methodologies.