Journal of Quantitative Criminology最新文献

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Identification Problems in Probabilistic Measures of Perceived Arrest Risk: Estimating a Partially-Identified Certainty Effect 感知逮捕风险的概率度量中的识别问题:估计部分识别的确定性效应
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-03-07 DOI: 10.1007/s10940-023-09569-w
Benjamin C. Hamilton
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引用次数: 0
Addressing Ethnic Differences in the Validity of Self-reported Criminal Behaviour Through a Social Desirability Measure 通过社会可取性测量解决自我报告犯罪行为有效性的种族差异
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-02-07 DOI: 10.1007/s10940-023-09567-y
Willemijn E. Bezemer, Marise Ph. Born, A. Leerkes
{"title":"Addressing Ethnic Differences in the Validity of Self-reported Criminal Behaviour Through a Social Desirability Measure","authors":"Willemijn E. Bezemer, Marise Ph. Born, A. Leerkes","doi":"10.1007/s10940-023-09567-y","DOIUrl":"https://doi.org/10.1007/s10940-023-09567-y","url":null,"abstract":"","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"1 1","pages":"1-28"},"PeriodicalIF":3.6,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43687709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction to: An Algorithmic Assessment of Parole Decisions 更正:假释决定的算法评估
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-02-01 DOI: 10.1007/s10940-023-09568-x
Hannah S. Laqueur, Ryan W. Copus
{"title":"Correction to: An Algorithmic Assessment of Parole Decisions","authors":"Hannah S. Laqueur, Ryan W. Copus","doi":"10.1007/s10940-023-09568-x","DOIUrl":"https://doi.org/10.1007/s10940-023-09568-x","url":null,"abstract":"","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"1 1","pages":"1"},"PeriodicalIF":3.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46333874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trajectories of Change in Acute Dynamic Risk Ratings and Associated Risk for Recidivism in Paroled New Zealanders: A Joint Latent Class Modelling Approach 假释新西兰人急性动态风险评级和相关累犯风险的变化轨迹:一种联合潜在类别建模方法
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-01-16 DOI: 10.1007/s10940-022-09566-5
Ariel G Stone, C. Lloyd, B. Spivak, N. Papalia, R. Serin
{"title":"Trajectories of Change in Acute Dynamic Risk Ratings and Associated Risk for Recidivism in Paroled New Zealanders: A Joint Latent Class Modelling Approach","authors":"Ariel G Stone, C. Lloyd, B. Spivak, N. Papalia, R. Serin","doi":"10.1007/s10940-022-09566-5","DOIUrl":"https://doi.org/10.1007/s10940-022-09566-5","url":null,"abstract":"","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"1 1","pages":"1-41"},"PeriodicalIF":3.6,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43263701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Is Police Misconduct Contagious? Non-trivial Null Findings from Dallas, Texas. 警察的不当行为会传染吗?得克萨斯州达拉斯市的非三维零结果。
IF 2.8 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-01-01 Epub Date: 2022-01-12 DOI: 10.1007/s10940-021-09532-7
Cohen R Simpson, David S Kirk
{"title":"Is Police Misconduct Contagious? Non-trivial Null Findings from Dallas, Texas.","authors":"Cohen R Simpson, David S Kirk","doi":"10.1007/s10940-021-09532-7","DOIUrl":"10.1007/s10940-021-09532-7","url":null,"abstract":"<p><strong>Objectives: </strong>Understanding if police malfeasance might be \"contagious\" is vital to identifying efficacious paths to police reform. Accordingly, we investigate whether an officer's propensity to engage in misconduct is associated with her direct, routine interaction with colleagues who have themselves engaged in misbehavior in the past.</p><p><strong>Methods: </strong>Recognizing the importance of analyzing the actual social networks spanning a police force, we use data on collaborative responses to 1,165,136 \"911\" calls for service by 3475 Dallas Police Department (DPD) officers across 2013 and 2014 to construct daily networks of front-line interaction. And we relate these cooperative networks to <i>reported and formally sanctioned</i> misconduct on the part of the DPD officers during the same time period using repeated-events survival models.</p><p><strong>Results: </strong>Estimates indicate that the risk of a DPD officer engaging in misconduct is not associated with the disciplined misbehavior of her ad hoc, on-the-scene partners. Rather, a greater risk of misconduct is associated with past misbehavior, officer-specific proneness, the neighborhood context of patrol, and, in some cases, officer race, while departmental tenure is a mitigating factor.</p><p><strong>Conclusions: </strong>Our observational findings-based on data from one large police department in the United States-ultimately suggest that actor-based and ecological explanations of police deviance should not be summarily dismissed in favor of accounts emphasizing negative socialization, where our study design also raises the possibility that results are partly driven by unobserved trait-based variation in the situations that officers find themselves in. All in all, interventions focused on individual officers, including the termination of deviant police, may be fruitful for curtailing police misconduct-where early interventions focused on new offenders may be key to avoiding the escalation of deviance.</p>","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"39 2","pages":"425-463"},"PeriodicalIF":2.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754082/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9498630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Residents, Employees and Visitors: Effects of Three Types of Ambient Population on Theft on Weekdays and Weekends in Beijing, China. 北京居民、雇员和访客:工作日和周末三种环境人口对盗窃行为的影响
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-01-01 DOI: 10.1007/s10940-021-09538-1
Guangwen Song, Yanji Zhang, Wim Bernasco, Liang Cai, Lin Liu, Bo Qin, Peng Chen
{"title":"Residents, Employees and Visitors: Effects of Three Types of Ambient Population on Theft on Weekdays and Weekends in Beijing, China.","authors":"Guangwen Song,&nbsp;Yanji Zhang,&nbsp;Wim Bernasco,&nbsp;Liang Cai,&nbsp;Lin Liu,&nbsp;Bo Qin,&nbsp;Peng Chen","doi":"10.1007/s10940-021-09538-1","DOIUrl":"https://doi.org/10.1007/s10940-021-09538-1","url":null,"abstract":"<p><strong>Objectives: </strong>The residential population of an area is an incomplete measure of the number of people that are momentarily present in the area, and of limited value as an indicator of exposure to the risk of crime. By accounting for the mobility of the population, measures of ambient population better reflect the momentary presence of people. They have therefore become an alternative indicator of exposure to the risk of crime. This study considers the heterogeneity of the ambient population by distinguishing residents, employees and visitors as different categories, and explores their differential impact on thefts, both on weekdays and weekends.</p><p><strong>Methods: </strong>We analyze one-year of police recorded thefts across 2104 1 km<sup>2</sup> grid cells in a central area in Beijing, China. Controlling for the effects of attractiveness, accessibility, and guardianship, we estimate a series of negative binominal models to investigate the differential effects of the three groups (residents, employees and visitors) in the ambient population on crime frequencies, both on weekdays and during weekends and holidays.</p><p><strong>Results: </strong>Overall, larger ambient populations imply larger theft frequencies. The effect of visitors is stronger than the effects of residents and employees. The effects of residents and employees vary over the course of the week. On weekdays, the presence of residents is more important, while the reverse holds true during weekends and holidays.</p><p><strong>Discussion: </strong>The effects of ambient population on thefts vary by its composition in terms of social roles. The larger role of visitors is presumably because in addition to being potential victims, residents and employees may also exercise informal social control. In addition, they spend more time indoors than where risk of theft is lower, while visitors might spend more time outdoors and may also bring about greater anonymity and weaken informal social control.</p>","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"39 2","pages":"385-423"},"PeriodicalIF":3.6,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9854343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Weekly Crime Concentration. 每周犯罪率。
IF 2.8 1区 社会学
Journal of Quantitative Criminology Pub Date : 2023-01-01 Epub Date: 2021-09-01 DOI: 10.1007/s10940-021-09533-6
Rafael Prieto Curiel
{"title":"Weekly Crime Concentration.","authors":"Rafael Prieto Curiel","doi":"10.1007/s10940-021-09533-6","DOIUrl":"10.1007/s10940-021-09533-6","url":null,"abstract":"<p><strong>Objectives: </strong>Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week.</p><p><strong>Methods: </strong>The \"heartbeat of the crime signal\" is constructed by overlapping the weekly time they were suffered. This study is based on more than 220,000 crimes reported to the Mexico City Police Department between January 2016 and March 2020 to capture the day and time of crimes and detect moments of the week in which the intensity exceeds the average frequency. A new metric for the temporal concentration of crime is constructed for different types of crime and regions of the city based on the corresponding heartbeats.</p><p><strong>Results: </strong>The temporal concentration of crime is a stable signature of different types of crime. The intensity of robberies and theft is more homogeneous from Monday to Sunday, but robberies of a bank user are highly concentrated in a week, meaning that few hours of the week capture most of the burning moments. The concentration is not homogeneously distributed in the city, with some regions experiencing a much higher temporal concentration of crime.</p><p><strong>Conclusions: </strong>Crime is highly concentrated when observed in its weekly patterns, but different types of crime and regions exhibit substantially distinct concentration levels. The temporal trace indicates specific moments for the burning times of different types of crime, which is a critical element of a policing strategy.</p>","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"39 1","pages":"97-124"},"PeriodicalIF":2.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10716860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Placing Perceptions of Unsafety: Examining Spatial Concentrations and Temporal Patterns of Unsafe Locations at Micro-Places 放置不安全感知:考察微观场所不安全位置的空间集中度和时间模式
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2022-12-29 DOI: 10.1007/s10940-022-09565-6
Karl Kronkvist
{"title":"Placing Perceptions of Unsafety: Examining Spatial Concentrations and Temporal Patterns of Unsafe Locations at Micro-Places","authors":"Karl Kronkvist","doi":"10.1007/s10940-022-09565-6","DOIUrl":"https://doi.org/10.1007/s10940-022-09565-6","url":null,"abstract":"","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46676579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Effect of COVID-19 Restrictions on Routine Activities and Online Crime. COVID-19 限制对日常活动和网络犯罪的影响。
IF 2.8 1区 社会学
Journal of Quantitative Criminology Pub Date : 2022-12-08 DOI: 10.1007/s10940-022-09564-7
Shane D Johnson, Manja Nikolovska
{"title":"The Effect of COVID-19 Restrictions on Routine Activities and Online Crime.","authors":"Shane D Johnson, Manja Nikolovska","doi":"10.1007/s10940-022-09564-7","DOIUrl":"10.1007/s10940-022-09564-7","url":null,"abstract":"<p><strong>Objectives: </strong>Routine activity theory suggests that levels of crime are affected by peoples' activity patterns. Here, we examine if, through their impact on people's on- and off-line activities, COVID-19 restriction affected fraud committed on- and off-line during the pandemic. Our expectation was that levels of online offending would closely follow changes to mobility and online activity-with crime increasing as restrictions were imposed (and online activity increased) and declining as they were relaxed. For doorstep fraud, which has a different opportunity structure, our expectation was that the reverse would be true.</p><p><strong>Method: </strong>COVID-19 restrictions systematically disrupted people's activity patterns, creating quasi-experimental conditions well-suited to testing the effects of \"interventions\" on crime. We exploit those conditions using ARIMA time series models and UK data for online shopping fraud, hacking, doorstep fraud, online sales, and mobility to test hypotheses. Doorstep fraud is modelled as a non-equivalent dependent variable, allowing us to test whether findings were selective and in line with theoretical expectations.</p><p><strong>Results: </strong>After controlling for other factors, levels of crime committed online were positively associated with monthly variation in online activities and negatively associated with monthly variation in mobility. In contrast, and as expected, monthly variation in doorstep fraud was positively associated with changes in mobility.</p><p><strong>Conclusions: </strong>We find evidence consistent with routine activity theory, suggesting that disruptions to people's daily activity patterns affect levels of crime committed both on- and off-line. The theoretical implications of the findings, and the need to develop a better evidence base about what works to reduce online crime, are discussed.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s10940-022-09564-7.</p>","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":" ","pages":"1-20"},"PeriodicalIF":2.8,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10460794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prognosticating Offending in Early Adulthood: How Early Can We Predict? 早期成人犯罪的预测:我们能多早预测?
IF 3.6 1区 社会学
Journal of Quantitative Criminology Pub Date : 2022-11-27 DOI: 10.1007/s10940-022-09561-w
Thomas A. Loughran, M. Augustyn, Mauri Matsuda, K. Henry
{"title":"Prognosticating Offending in Early Adulthood: How Early Can We Predict?","authors":"Thomas A. Loughran, M. Augustyn, Mauri Matsuda, K. Henry","doi":"10.1007/s10940-022-09561-w","DOIUrl":"https://doi.org/10.1007/s10940-022-09561-w","url":null,"abstract":"","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49444704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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