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The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Themes and Variations: Taking Stock of the Advocacy Coalition Framework

Weible, Christopher M., Sabatier, Paul A., McQueen, Kelly·2009·Policy Studies Journal

Abstract

A policy process framework that has been developed to simplify the complexity of public policy is the advocacy coalition framework (ACF). This essay reports on an analysis of 80 applications of the ACF spanning nearly 20 years. The review shows that the ACF is applicable to various substantive topics, across various geographical areas, and with other policy process theories and frameworks, including the stages heuristic. The most commonly tested hypotheses involve policy change, learning, and coalition stability. Although the hypotheses tend to be confirmed, questions remain about the membership, stability, and defection of coalition members; about the causal mechanisms linking external events and policy change; and about the conditions that facilitate cross‐coalition learning. Emerging areas of research include policy subsystem interdependencies and coordination within, and between, coalitions.

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Metadata

Authors
Weible, C. M., Sabatier, P. A., & McQueen, K.
Venue
Policy Studies Journal
Publisher
Wiley
Published
2009-02
Volume
37
Issue
1
Pages
121-140
ISSN
  • 0190-292X (ISSN-L)
  • 1541-0072
OpenAlex
W2109332867
Cited by
837
References
42
FWCI
172.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Themes and Variations: Taking Stock of the Advocacy Coalition Framework. https://app.cochat.ai/papers/10.1111/j.1541-0072.2008.00299.x
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Weible, C. M., Sabatier, P. A., & McQueen, K. (2009). Themes and Variations: Taking Stock of the Advocacy Coalition Framework. Policy Studies Journal. https://doi.org/10.1111/j.1541-0072.2008.00299.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.