Braithwaite Jeremy
University of California, Irvine, CA, USA
Sex Abuse. 2015 Oct;27(5):496-523. doi: 10.1177/1079063214521471. Epub 2014 Feb 4.
This research focuses on structural covariates of sex crimes in rural communities (using urban and urbanizing communities as comparison groups), with particular analysis on exploring how the magnitude and direction of such covariates differ with respect to type of sex crime. Using 2000 sex crime data from the National Incident-Based Reporting System (NIBRS) for the population of reporting U.S. cities, negative binomial and logistic regression procedures were used to explore the relationship between resource disadvantage, local investment, and economic inequality and sex crime subtypes. For sex crimes that occurred almost exclusively in the home, urban and urbanizing community rates were largely influenced by resource disadvantage and local investment, while these measures did not reach significance for explaining rural rates. Conversely, local investment was a significant predictor of sex crimes that occurred outside the home in rural communities. This research indicates that a structural analysis of sexual victimization (widely absent from the scientific literature) does yield significant findings and that disaggregation of crime into subtypes allows for a more detailed differentiation between urban and rural communities.
本研究聚焦于农村社区性犯罪的结构协变量（以城市和正在城市化的社区作为对照组），特别分析此类协变量在性犯罪类型方面的大小和方向差异。利用来自美国国家基于事件报告系统（NIBRS）的2000年美国城市报告人口的性犯罪数据，采用负二项回归和逻辑回归程序来探究资源劣势、地方投资以及经济不平等与性犯罪亚型之间的关系。对于几乎仅在家中发生的性犯罪，城市和正在城市化社区的发生率在很大程度上受资源劣势和地方投资的影响，而这些指标对于解释农村地区的发生率并不显著。相反，地方投资是农村社区户外性犯罪的一个重要预测因素。本研究表明，对性侵害进行结构分析（科学文献中普遍缺乏）确实能得出重要发现，并且将犯罪细分为亚型有助于更详细地区分城市和农村社区。
