The Case for Preregistering Quasi-Experimental Program and Policy Evaluations

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Bibliographic Details
Title: The Case for Preregistering Quasi-Experimental Program and Policy Evaluations
Language: English
Authors: Thomas S. Dee (ORCID 0000-0001-7524-768X)
Source: Evaluation Review. 2025 49(5):931-945.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Quasiexperimental Design, Program Evaluation, Policy Analysis, Research Problems, Research Administration, Access to Information
DOI: 10.1177/0193841X251326738
ISSN: 0193-841X
1552-3926
Abstract: The recognition that researcher discretion coupled with unconscious biases and motivated reasoning sometimes leads to false findings ("p-hacking") led to the broad embrace of study preregistration and other open-science practices in experimental research. Paradoxically, the preregistration of quasi-experimental studies remains uncommon although such studies involve far more discretionary decisions and are the most prevalent approach to making causal claims in the social sciences. I discuss several forms of recent empirical evidence indicating that questionable research practices contribute to the comparative unreliability of quasi-experimental research and advocate for adopting the preregistration of such studies. The implementation of this recommendation would benefit from further consideration of key design details (e.g., how to balance data cleaning with credible preregistration) and a shift in research norms to allow for appropriately nuanced sensemaking across prespecified, confirmatory results and other exploratory findings.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1482117
Database: ERIC
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Description
Abstract:The recognition that researcher discretion coupled with unconscious biases and motivated reasoning sometimes leads to false findings ("p-hacking") led to the broad embrace of study preregistration and other open-science practices in experimental research. Paradoxically, the preregistration of quasi-experimental studies remains uncommon although such studies involve far more discretionary decisions and are the most prevalent approach to making causal claims in the social sciences. I discuss several forms of recent empirical evidence indicating that questionable research practices contribute to the comparative unreliability of quasi-experimental research and advocate for adopting the preregistration of such studies. The implementation of this recommendation would benefit from further consideration of key design details (e.g., how to balance data cleaning with credible preregistration) and a shift in research norms to allow for appropriately nuanced sensemaking across prespecified, confirmatory results and other exploratory findings.
ISSN:0193-841X
1552-3926
DOI:10.1177/0193841X251326738