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Cited by 507

The DOI matches its OpenAlex record; 48 of the 48 references it cites were found in a registry or an index.

The Case for Participatory Evaluation

J. Bradley Cousins, Lorna M. Earl·1992·Educational Evaluation and Policy Analysis

Abstract

Participatory evaluation is presented as an extension of the stakeholder-based model with a focus on enhancing evaluation utilization through primary users’ increased depth and range of participation in the applied research process. The approach is briefly described and then justified from theoretical and empirical bases. The literature on organizational learning provides theoretical support for participatory evaluation stemming primarily from the view that knowledge is socially constructed and cognitive systems and memories are developed and shared by organization members. Twenty-six recent empirical studies were found to support an organizational learning justification of the model. Studies were classified into one of six emergent categories: conceptions of use; effects of participation on the use of research; effects of participation on the use of disseminated knowledge; effects of research training; school-university partnerships; and internal evaluation. Requirements of organizations and evaluators and an agenda for research are discussed.

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Metadata

Authors
Cousins, J. B., & Earl, L. M.
Venue
Educational Evaluation and Policy Analysis
Publisher
SAGE Publishing
Published
1992-01-01
Volume
14
Issue
4
Pages
397-397
ISSN
0162-3737 (ISSN-L)
OpenAlex
W2013450091
Cited by
507
References
48
FWCI
7.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Case for Participatory Evaluation. https://app.cochat.ai/papers/10.2307/1164283
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Cousins, J. B., & Earl, L. M. (1992). The Case for Participatory Evaluation. Educational Evaluation and Policy Analysis. https://doi.org/10.2307/1164283

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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.