Addressing Ethnic Differences in the Validity of Self-reported Criminal Behaviour Through a Social Desirability Measure

Author:

Bezemer Willemijn E.ORCID,Born Marise Ph.ORCID,Leerkes Arjen S.

Abstract

Abstract Objectives Self-reported criminal behaviour has the potential to provide clearer insights into patterns of criminality compared to using police statistics. The risk of inaccurate responses however forms a major obstacle to its validity. This study therefore examines underreporting bias of self-reported criminal behaviour among five ethnic groups and compares different methods to facilitate the creation of valid intergroup comparisons. Methods This study includes data from the Monitor on Youthful Delinquency (N = 6,218) which was connected to police suspect registrations. To identify patterns of underreporting, we compared self-reported and police recorded crime with a social desirability measure, which was adjusted to be invariant across ethnic groups. Three different methods to correct for underreporting bias were subsequently compared; partialling out the effect of social desirability, listwise deletion, and a novel technique which we named Social Desirability based Score Replacement (SDSR). Results The study reveals that police suspects with a high social desirability score display a low likelihood to self-report crime when they have an ethnic minority background, but not when they have a native Dutch background or when they have a moderate to low social desirability score. This finding points towards systematic differences in underreporting bias. Model outcomes are shown to be significantly impacted depending on the method that is used to address this issue. Conclusion Neglecting to correct underreporting-bias hinders the validity of intergroup comparisons of self-reported criminal behaviour. The inclusion of a social desirability measure is therefore recommended to help identify and correct underreporting bias, particularly through the use of SDSR.

Funder

Politie en Wetenschap

Publisher

Springer Science and Business Media LLC

Subject

Law,Pathology and Forensic Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3