Hierarchical Linear Models of Criminal Victimization

犯罪受害的分层线性模型

• 批准号: 9310193
• 负责人: Kenneth Land
• 金额: $ 7.78万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-01 至 1996-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9310193&HistoricalAwards=false
• 关键词: Hierarchical; Linear; Models; Criminal; Victimization

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. ***

9310193本项目将为几个犯罪受害数据集开发、评估和评估分层线性模型，从而考虑到受害调查数据的隐含分层结构--从个人到社区再到城市或城市地区。这种方法将整合和比较两种主要的受害理论方法：1)常规活动/犯罪机会方法，强调个人层面的协变量，如年龄、性别和生活方式特征；2)其他方法，强调总体单位的特征，如社区和城市。这项研究将处理在评估不同受害率方面一直存在争议的关键犯罪学和社会学问题。这项研究将提高对将人们置于犯罪受害者风险中的因素的科学理解。通过这样做，它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这些技术。了解影响成为犯罪受害者的风险的因素将有助于降低这一风险。***