限制性住房安置与居住时间:混合分布的潜在类别分析

Q1 Social Sciences
Shi Yan, Kristen M. Zgoba, J. Pizarro
{"title":"限制性住房安置与居住时间:混合分布的潜在类别分析","authors":"Shi Yan, Kristen M. Zgoba, J. Pizarro","doi":"10.1177/08874034231184139","DOIUrl":null,"url":null,"abstract":"On average, one in five incarcerated persons will spend some time in restrictive housing (RH) during their incarceration. Despite a growing body of research on the topic of RH, few have taken into account the heterogeneity of the incarcerated individuals’ pre-RH risk profiles. In the present study, we fill this gap by estimating a latent class analysis (LCA) model to explore the heterogeneity among a sample of incarcerated individuals in New Jersey. Our LCA has both dichotomous and count variables, and we specified a model with logit and Poisson functional forms. We then examine how the latent group membership predicted RH placement and length of stay using a hurdle model. We identified a four-group LCA model, and found that groups featuring misconduct records were more likely to experience RH and stay longer in RH. Prior criminal records were less predictive of these RH outcomes.","PeriodicalId":10757,"journal":{"name":"Criminal Justice Policy Review","volume":"34 1","pages":"462 - 487"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Restrictive Housing Placement and Length of Stay: A Latent Class Analysis With Mixed Distributions\",\"authors\":\"Shi Yan, Kristen M. Zgoba, J. Pizarro\",\"doi\":\"10.1177/08874034231184139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On average, one in five incarcerated persons will spend some time in restrictive housing (RH) during their incarceration. Despite a growing body of research on the topic of RH, few have taken into account the heterogeneity of the incarcerated individuals’ pre-RH risk profiles. In the present study, we fill this gap by estimating a latent class analysis (LCA) model to explore the heterogeneity among a sample of incarcerated individuals in New Jersey. Our LCA has both dichotomous and count variables, and we specified a model with logit and Poisson functional forms. We then examine how the latent group membership predicted RH placement and length of stay using a hurdle model. We identified a four-group LCA model, and found that groups featuring misconduct records were more likely to experience RH and stay longer in RH. Prior criminal records were less predictive of these RH outcomes.\",\"PeriodicalId\":10757,\"journal\":{\"name\":\"Criminal Justice Policy Review\",\"volume\":\"34 1\",\"pages\":\"462 - 487\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Criminal Justice Policy Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/08874034231184139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Criminal Justice Policy Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/08874034231184139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

平均而言,五分之一的被监禁者在监禁期间会在限制性住房中度过一段时间。尽管对RH主题的研究越来越多,但很少有人考虑到被监禁者RH前风险状况的异质性。在本研究中,我们通过估计潜在类别分析(LCA)模型来填补这一空白,以探索新泽西州被监禁者样本之间的异质性。我们的LCA既有二分变量,也有计数变量,我们指定了一个具有logit和Poisson函数形式的模型。然后,我们使用障碍模型研究了潜在群体成员如何预测RH的位置和停留时间。我们确定了一个四组LCA模型,发现有不当行为记录的组更有可能经历RH,并在RH中停留更长时间。先前的犯罪记录对这些RH结果的预测性较差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Restrictive Housing Placement and Length of Stay: A Latent Class Analysis With Mixed Distributions
On average, one in five incarcerated persons will spend some time in restrictive housing (RH) during their incarceration. Despite a growing body of research on the topic of RH, few have taken into account the heterogeneity of the incarcerated individuals’ pre-RH risk profiles. In the present study, we fill this gap by estimating a latent class analysis (LCA) model to explore the heterogeneity among a sample of incarcerated individuals in New Jersey. Our LCA has both dichotomous and count variables, and we specified a model with logit and Poisson functional forms. We then examine how the latent group membership predicted RH placement and length of stay using a hurdle model. We identified a four-group LCA model, and found that groups featuring misconduct records were more likely to experience RH and stay longer in RH. Prior criminal records were less predictive of these RH outcomes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Criminal Justice Policy Review
Criminal Justice Policy Review Social Sciences-Law
CiteScore
3.30
自引率
0.00%
发文量
24
期刊介绍: Criminal Justice Policy Review (CJPR) is a multidisciplinary journal publishing articles written by scholars and professionals committed to the study of criminal justice policy through experimental and nonexperimental approaches. CJPR is published quarterly and accepts appropriate articles, essays, research notes, interviews, and book reviews. It also provides a forum for special features, which may include invited commentaries, transcripts of significant panels or meetings, position papers, and legislation. To maintain a leadership role in criminal justice policy literature, CJPR will publish articles employing diverse methodologies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信