{"title":"Comment: Bayes, Model Uncertainty, and Learning from Data","authors":"B. Western","doi":"10.1177/0081175018799095","DOIUrl":null,"url":null,"abstract":"Robert M. O’Brien is a professor emeritus at the University of Oregon. He specializes in criminology and quantitative methods. Within criminology, he focuses on the methods used to gather criminological data, on the analysis of crime rates, and on the task of extricating the effects of ages, periods, and cohorts on crime rates. His most recent publication on that topic, “Homicide Arrest Rate Trends in the United States: The Contributions of Periods and Cohorts (1965–2015),” appeared in 2018 in the Journal of Quantitative Criminology. In quantitative methods, some of his contributions involve the effects of using interval data as ordinal, generalizability theory, identification in structural equation modeling measurement models, the use of multicollinearity indices, and an obsession with age-period-cohort models. In 2015 he published a book on this topic, Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data (Chapman & Hall, 2015).","PeriodicalId":48140,"journal":{"name":"Sociological Methodology","volume":"48 1","pages":"39 - 43"},"PeriodicalIF":2.4000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0081175018799095","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sociological Methodology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/0081175018799095","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Robert M. O’Brien is a professor emeritus at the University of Oregon. He specializes in criminology and quantitative methods. Within criminology, he focuses on the methods used to gather criminological data, on the analysis of crime rates, and on the task of extricating the effects of ages, periods, and cohorts on crime rates. His most recent publication on that topic, “Homicide Arrest Rate Trends in the United States: The Contributions of Periods and Cohorts (1965–2015),” appeared in 2018 in the Journal of Quantitative Criminology. In quantitative methods, some of his contributions involve the effects of using interval data as ordinal, generalizability theory, identification in structural equation modeling measurement models, the use of multicollinearity indices, and an obsession with age-period-cohort models. In 2015 he published a book on this topic, Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data (Chapman & Hall, 2015).
Robert M.O'Brien是俄勒冈大学的名誉教授。他专门研究犯罪学和定量方法。在犯罪学领域,他专注于收集犯罪学数据的方法,犯罪率的分析,以及消除年龄、时期和群体对犯罪率的影响的任务。他关于这一主题的最新出版物《美国凶杀案逮捕率趋势:时期和群体的贡献(1965–2015)》于2018年发表在《定量犯罪学杂志》上。在定量方法中,他的一些贡献涉及使用区间数据作为序数的影响、可推广性理论、结构方程建模测量模型中的识别、多重共线性指数的使用以及对年龄段队列模型的痴迷。2015年,他出版了一本关于这一主题的书,《年龄段队列模型:聚合数据的方法和分析》(Chapman&Hall,2015)。
期刊介绍:
Sociological Methodology is a compendium of new and sometimes controversial advances in social science methodology. Contributions come from diverse areas and have something useful -- and often surprising -- to say about a wide range of topics ranging from legal and ethical issues surrounding data collection to the methodology of theory construction. In short, Sociological Methodology holds something of value -- and an interesting mix of lively controversy, too -- for nearly everyone who participates in the enterprise of sociological research.