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Cited by 2,513

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A Meta‐Analysis of Research on Protection Motivation Theory

FLOYD, DONNA L., PRENTICE‐DUNN, STEVEN, ROGERS, RONALD W.·2000·Journal of Applied Social Psychology

Abstract

This article reports the first meta‐analysis of the literature on protection motivation theory (Rogers, 1975, 1983; Rogers & Prentice‐Dunn, 1997), a model of disease prevention and health promotion that has generated research for over two decades. The literature review included 65 relevant studies (N= approximately 30,000) that represented over 20 health issues. The mean overall effect size (d+= 0.52) was of moderate magnitude. In general, increases in threat severity, threat vulnerability, response efficacy, and self‐efficacy facilitated adaptive intentions or behaviors. Conversely, decreases in maladaptive response rewards and adaptive response costs increased adaptive intentions or behaviors. This held true whether the measures were based on intentions or behaviors, and suggests that PMT components may be useful for individual and community interventions.

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Metadata

Authors
FLOYD, D. L., PRENTICE‐DUNN, S., & ROGERS, R. W.
Venue
Journal of Applied Social Psychology
Publisher
Wiley
Published
2000-02
Volume
30
Issue
2
Pages
407-429
ISSN
  • 0021-9029 (ISSN-L)
  • 1559-1816
OpenAlex
W2025829466
Cited by
2,513
References
2
FWCI
16.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Meta‐Analysis of Research on Protection Motivation Theory. https://app.cochat.ai/papers/10.1111/j.1559-1816.2000.tb02323.x
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FLOYD, D. L., PRENTICE‐DUNN, S., & ROGERS, R. W. (2000). A Meta‐Analysis of Research on Protection Motivation Theory. Journal of Applied Social Psychology. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.