Predicting Police Integrity: An Application of Support Vector Machines (SVM) to the Police Integrity Instrument

IF 1.8 4区社会学 Q2 CRIMINOLOGY & PENOLOGY Asian Journal of Criminology Pub Date : 2024-02-14 DOI:10.1007/s11417-024-09417-1

David A. Makin, Guangzhen Wu, Matthew Broussard, Bala Krishnamoorthy

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Abstract

Research using the 11-scenario police integrity instrument designed by Klockars et al. document a range of factors influencing the willingness to report a fellow officer for police crime and police misconduct. A consistent quandary within this scholarship is that while some findings are consistent, when disaggregated by scenario type, there are wide variations obscuring patterns that may allow for targeted interventions improving police integrity. This study applies support vector machines (SVMs) to construct predictors for 608 responses to the Police Integrity Instrument from police officers enrolled in a police university for in-service training in China. Results confirm that while perceptions of seriousness remain the most successful predictors of the self-reported willingness to report a fellow officer, perceptions of seriousness associated with ethical dilemmas display high survivability suggesting targeted interventions may be an effective pathway towards improving police integrity.

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预测警察廉正：支持向量机 (SVM) 在警察廉政工具中的应用

使用 Klockars 等人设计的 11 种情景警察廉正工具进行的研究记录了一系列影响人们是否愿意就警察犯罪和警察不当行为举报同僚的因素。这项研究始终存在的一个难题是，虽然有些研究结果是一致的，但如果按照情景类型进行分类，则会出现很大的差异，从而掩盖了可以有针对性地采取干预措施以提高警察廉正的模式。本研究应用支持向量机（SVM）为中国一所警察大学在职培训的警察对警察廉正问卷的 608 个回答构建预测因子。结果证实，虽然对严重性的认知仍然是自我报告是否愿意举报同事的最成功预测因素，但与道德困境相关的严重性认知显示出较高的存活率，这表明有针对性的干预措施可能是提高警察廉正的有效途径。

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来源期刊

Asian Journal of Criminology CRIMINOLOGY & PENOLOGY-

CiteScore

3.00

自引率

10.50%

发文量

期刊介绍： Electronic submission now possible! Please see the Instructions for Authors. For general information about this new journal please contact the publisher at [welmoed.spahr@springer.com] The Asian Journal of Criminology aims to advance the study of criminology and criminal justice in Asia, to promote evidence-based public policy in crime prevention, and to promote comparative studies about crime and criminal justice. The Journal provides a platform for criminologists, policymakers, and practitioners and welcomes manuscripts relating to crime, crime prevention, criminal law, medico-legal topics and the administration of criminal justice in Asian countries. The Journal especially encourages theoretical and methodological papers with an emphasis on evidence-based, empirical research addressing crime in Asian contexts. It seeks to publish research arising from a broad variety of methodological traditions, including quantitative, qualitative, historical, and comparative methods. The Journal fosters a multi-disciplinary focus and welcomes manuscripts from a variety of disciplines, including criminology, criminal justice, law, sociology, psychology, forensic science, social work, urban studies, history, and geography.