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Correction to: Working with Misspecified Regression Models
Unfortunately, the subjected Special Issue article has been inadvertently included in the regular issue volume 34, Issue 3, September 2018, of this journal. We apologize for the error. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - June 9, 2020 Category: Criminology Source Type: research

Dude, Where ’s My Treatment Effect? Errors in Administrative Data Linking and the Destruction of Statistical Power in Randomized Experiments
ConclusionOur results demonstrate that probabilistic linking substantially outperforms stringent linking criteria. Failure to implement linking procedures designed to reduce linking errors can have dire consequences for subsequent analyses and, more broadly, for the viability of this type of experimental research. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - June 8, 2020 Category: Criminology Source Type: research

Standard Errors in Quantitative Criminology: Taking Stock and Looking Forward
(Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - May 28, 2020 Category: Criminology Source Type: research

A Network-Based Examination of the Longitudinal Association Between Psychopathy and Offending Versatility
ConclusionsPsychopathology network modeling illustrated the value of features of psychopathy to mainstream criminological theory and research. These features included interpersonal and affective deficits, which previously were identified as poor predictors of offending outcomes. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - May 27, 2020 Category: Criminology Source Type: research

Exploring the Time-Varying Determinants of State Spending on Corrections
ConclusionsThe findings presented in this study emphasize the importance of time and place when trying to untangle trends in correctional budget decision-making. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - May 19, 2020 Category: Criminology Source Type: research

Correction To: Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference
Correction To: Journal of Quantitative Criminology (2019) 35:631 –662https://doi.org/10.1007/s10940-018-9385-x. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - May 18, 2020 Category: Criminology Source Type: research

A Natural Experiment to Test the Effect of Sanction Certainty and Celerity on Substance-Impaired Driving: North Dakota ’s 24/7 Sobriety Program
ConclusionsThe results suggest frequent monitoring combined with increased sanction celerity deters substance use-involved crime. While the results are generally consistent with an earlier study of 24/7 Sobriety in another state, differences in the study outcome measures implementation choices across states make direct comparisons difficult. More can be learned by conducting randomized controlled trials that vary time on program, testing technology, and/or level of sanction. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - May 3, 2020 Category: Criminology Source Type: research

Longitudinal Propensity Score Matching: A Demonstration of Counterfactual Conditions Adjusted for Longitudinal Clustering
ConclusionsLPSM provides a useful alternative to cross-sectional PSM when the probability of exposure to a treatment condition varies by the time at which the treatment was administered. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - April 24, 2020 Category: Criminology Source Type: research

Mapping the Risk Terrain for Crime Using Machine Learning
ConclusionsWe show how using black-box machine learning models can provide accurate micro placed based crime predictions, but still be interpreted in a manner that fosters understanding of why a place is predicted to be risky. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - April 23, 2020 Category: Criminology Source Type: research

Proactive Police Response in Property Crime Micro-time Hot Spots: Results from a Partially-Blocked Blind Random Controlled Trial
ConclusionsThe study examines a real-world strategy institutionalized into the day-today operations of a police department. The largest impact on crime was seen during response. In addition, crime reductions that occurred while micro-time hot spots received response held for 2  months after the responses end with no evidence of spatial displacement. Our findings reveal larger effect sizes than most hot spots policing studies which may be due to how the unit of analysis was defined, the systematic nature of the response implementation, and the use of a no-dosage, blind co ntrol condition. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - April 20, 2020 Category: Criminology Source Type: research

Modeling the Social and Spatial Proximity of Crime: Domestic and Sexual Violence Across Neighborhoods
ConclusionOverall, the results indicate variations across crime type, urban contexts, and modeling approaches. Nonetheless, in important contexts, commuting ties among neighborhoods are observed to greatly improve our understanding of urban crime. If such ties contribute to the transfer of norms, social support, resources, and behaviors between places, they may then transfer also the effects of crime prevention efforts. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - March 29, 2020 Category: Criminology Source Type: research

The Topography of Robbery: Does Slope Matter?
ConclusionsSteeper street blocks may have fewer robberies because they make the physical costs for committing robberies too high, are too difficult to escape from, and/or provide fewer robbery opportunities due to relatively lower usage. Moreover, more robberies appear to occur on street blocks with higher betweenness due to more potential opportunities there. Finally, the influence of facilities and community characteristics were largely consistent with theoretical expectations and past studies. Future studies should continue to examine how topography influences aggregate crime levels and offender decision making in other...
Source: Journal of Quantitative Criminology - January 27, 2020 Category: Criminology Source Type: research

Prying Open the Black Box of Causality: A Causal Mediation Analysis Test of Procedural Justice Policing
ConclusionsThe effect ’s consistency and homogeneity should be examined in future block-randomised designs. Causal mediation analysis is a versatile tool that can salvage experiments with systematic yet ambiguous treatment effects by allowing researchers to “pry open” the black box of causality. The theoretical pro positions of procedural justice policing were supported. Future studies are needed with more discernible causal mediation effects. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - January 24, 2020 Category: Criminology Source Type: research

Gender Differences in the Educational Penalty of Delinquent Behavior: Evidence from an Analysis of Siblings
ConclusionsThis study finds a negative association between delinquency and educational attainment only for males but not for females. Results suggest that failure to account for unobserved family-level heterogeneity spuriously inflates the delinquency –education association to a larger extent among females than males. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - January 23, 2020 Category: Criminology Source Type: research

Hanging Out with the Wrong Crowd? The Role of Unstructured Socializing in Adolescents ’ Specialization in Delinquency and Substance Use
ConclusionsThe study indicates that routine activity —in particular involvement in unstructured socializing—explains within-individual changes in deviance specialization among adolescents. Thus, exposure to opportunities can explain why adolescents specialize in certain types of delinquency and substance use in one time-period, and in other types of behavior in other time-periods. This adds a proximate explanation for this phenomenon to other explanations that focus on local life circumstances and peer group affiliation. (Source: Journal of Quantitative Criminology)
Source: Journal of Quantitative Criminology - January 10, 2020 Category: Criminology Source Type: research