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The Mechanistic Rewards of Data and Theory Integration for Theory-Based Evaluation
Linneaus University, Växjö, Sweden.
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.ORCID iD: 0000-0003-2964-6297
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. Östfold University College, Halden, Halden, Norwa.ORCID iD: 0000-0002-3329-0177
2023 (English)In: American Journal of Evaluation, ISSN 1098-2140, E-ISSN 1557-0878Article in journal (Refereed) Epub ahead of print
Abstract [en]

In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a proper program theory should specify the intervening mechanisms underlying the program outcome. In the present article, we discuss in what way data and theory integration can help evaluators in constructing and refining mechanistic program theories. The paper argues that a mechanism is both a network of entities and activities and a network of counterfactual relations. Furthermore, we argue that although data integration typically provides information about different parts of a program, it is the integration of theory that provides the most important mechanistic insights.

Place, publisher, year, edition, pages
SAGE Publications Inc. , 2023.
Keywords [en]
data integration, mechanism, process tracing, theory integration, theory-based evaluation
National Category
Other Social Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-61922DOI: 10.1177/10982140221122764ISI: 000922160700001Scopus ID: 2-s2.0-85147371575OAI: oai:DiVA.org:mdh-61922DiVA, id: diva2:1736973
Available from: 2023-02-15 Created: 2023-02-15 Last updated: 2023-02-22Bibliographically approved

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Lindvall, JannikaRyve, Andreas

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