Hierarchical Linear Models of Criminal Victimization

该项目将开发、估计和评估多个犯罪受害数据集的层次线性模型，从而考虑到受害调查数据的隐含层次结构——从个人到社区再到城市或城市地区。这种方法将整合并比较两种主要的受害理论方法：1)强调个人层面协变量（如年龄、性别和生活方式特征）的常规活动/犯罪机会方法，以及2)强调整体单位（如社区和城市）特征的其他方法。这项研究将处理在评估受害率差异时一直存在争议的关键犯罪学和社会学问题。这项研究将提高对使人们有成为犯罪受害者风险的因素的科学理解。这样做将展示统计分析新技术的力量，从而鼓励几个领域的社会科学家使用它们。了解影响成为犯罪受害者风险的因素将有助于减少这种风险。＊＊＊

9310193 Land This project will develop, estimate, and evaluate hierarchical linear models for several datasets on criminal victimization, thus taking into account the implicit hierarchical structure of victimization survey data - from individuals to neighborhoods to cities or urban areas. This approach will integrate and compare the two major theoretical approaches to victimization: 1) the routine activities/crime opportunity approach that stresses individual-level covariates such as age, sex, and life style characteristics, and 2) other approaches that emphasize characteristics of aggregate units, such as neighborhoods and cities. The research will address critical criminological and sociological issues that have been at issue in the assessment of variations in victimization rates. The research will improve scientific understanding of the factors that put people at risk of being the victims of crime. In so doing it will demonstrate the power of new techniques of statistical analysis, thus encouraging social scientists in several fields to use them. Knowledge of the factors that affect the risk of being a victim of crime will be useful in reducing that risk. ***