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Challenges related to the analytical process in realist evaluation and latest developments on the use of NVivo from a realist perspective

Bibliographic Data

ID12595160
AuthorsDave A Bergeron (0000-0002-8404-665X, Université du Québec à Rimouski, corresponding author), Isabelle Gaboury (0000-0002-2881-4714, Université de Sherbrooke)
Year2019
Volume23
Issue3
Pages355-365
Publication date2019-11-28
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of Social Research Methodology (JOURNAL)
Journal identifiersISSN: 1364-5579 • E-ISSN: 1464-5300
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/13645579.2019.1697167
OpenAlexW2991598162
LanguageEN
Citations received14
References cited51

Realist evaluation (RE) is a research design increasingly used in program evaluation, that aims to explore and understand the influence of context and underlying mechanisms on intervention or program outcomes. Several methodological challenges, however, are associated with this approach. This article summarizes RE key principles and examines some documented challenges and solutions when analyzing RE data, including the development of Context-Mechanism-Outcome configurations. An analytic method using NVivo features is also presented. This method makes it possible to respond to certain analytic difficulties associated with RE by facilitating the identification of patterns and ensuring transparency in the analytical process

Context (archaeology · Data science · Engineering ethics · Epistemology · Identification (biology · Intervention (counseling · Management science · Outcome (game theory · Perspective (graphical · Process (computing · Transparency (behavior · Advanced Causal Inference Techniques · Computer Science · Engineering · Evaluation and Performance Assessment · Health Policy Implementation Science · Psychology · Artificial Intelligence

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Unique citing works14
Citations per year2,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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