Investigating the demographic and attitudinal predictors of rape myth acceptance in U.K. Police officers: developing an evidence-base for training and professional development

Murphy, Anthony ORCID: https://orcid.org/0000-0003-0093-6178 and Hine, Ben (2019) Investigating the demographic and attitudinal predictors of rape myth acceptance in U.K. Police officers: developing an evidence-base for training and professional development. Psychology, Crime and Law, 25 (1). pp. 69-89. ISSN 1068-316X (doi:10.1080/1068316X.2018.1503663)

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Abstract

Efforts to understand rape myth acceptance (RMA) as a cognitive framework in police, unifying key cognitive/attitudinal and demographic factors into one coherent model, are lacking. Using a cross-sectional survey design, predictors of RMA were assessed by linear hierarchical regression, including demographic (age, length of service, gender, experience of specialist rape investigation training) and attitudinal factors (hostility towards women, sexist attitudes, and explicit power/sex beliefs) among officers from a large U.K. police force (N = 912). The final model explained 44% of variance in RMA. Gender and previous specialist training significantly predicted RMA, but to a much lesser extent than attitudinal variables, which explain 42% of RMA variance. Only specialist rape investigation training remained significant when attitudinal variables were added. The greater contribution from attitudinal variables suggests that efforts to address RMA in officers must consider the broader attitudinal structures underpinning RMA. Findings highlight implications for evidence- based training for rape investigators.

Item Type: Article
Research Areas: A. > School of Science and Technology > Psychology
Item ID: 25243
Notes on copyright: This is an Accepted Manuscript of an article published by Taylor & Francis in Psychology, Crime and Law on 29/07/2018, available online: http://www.tandfonline.com/10.1080/1068316X.2018.1503663
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Depositing User: Anthony Murphy
Date Deposited: 01 Oct 2018 12:44
Last Modified: 05 Oct 2019 15:04
URI: https://eprints.mdx.ac.uk/id/eprint/25243

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