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Data Analysis and Synthesis Within a Realist Evaluation

Toward More Transparent Methodological Approaches

Datos Bibliográficos

ID2410795
AutoresBrynne Gilmore (0000-0003-4496-9254), Eilish Mcauliffe (0000-0002-9714-5040), Jessica Powers, J R Power (0000-0001-8015-2562), Frédérique Vallières (0000-0001-6315-3029)
Año2019
Volumen18
Fecha de publicación2019-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Qualitative Methods (JOURNAL)
Identificadores de la revistaISSN: 1609-4069 • E-ISSN: 1609-4069
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/1609406919859754
OpenAlexW2955563742
IdiomaEN
Citas recibidas76
Referencias citadas27

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

Data science · Management science · Process (computing · Psychological intervention · Sociology · Strengths and weaknesses · Tanzania · Transparency (behavior · Computer Science · Engineering · Evaluation and Performance Assessment · Global Maternal and Child Health · Health Policy Implementation Science · Psychology · Social Psychology

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Intervalo de citas2020 - 2026 (7)
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