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1.
Badi Hasisi Efrat Shoham David Weisburd Noam Haviv Anat Zelig 《Journal of Experimental Criminology》2016,12(4):563-586
Objectives
Although there are many evaluations of domestic violence rehabilitation programs, it is still unclear “what works” in this field, especially when it comes to programs within prison walls. Today, most studies indicate that domestic violence programs based on cognitive behavioral treatment, or psycho-educational models show small positive results. Yet, there is still insufficient empirical literature providing adequate evidence for the impact of integrative treatment, where different methods and approaches toward domestic violence prisoners are employed within the same rehabilitation-program framework while incarcerated. Our study examined the effects of an integrative domestic violence program with a therapeutic “package” implemented in Israel with the goal of reducing recidivism rates among prisoners in general, and especially with regard to violent offenses.Methods
Using propensity score matching methods, we compared treated offenders to a matched sample drawn from all convicted prisoners who were released from prison between 2004 and 2012.Results
The findings indicate that the percentages of reincarceration and rearrests of inmates, who participated in integrative domestic violence program, were significantly lower during a period of up to 4 years after release.Conclusions
Our conclusion is that the integrative effect of different treatments along with a supportive prison climate increased the success of inmates who participated in the domestic violence program.2.
Susan McNeeley 《Journal of Experimental Criminology》2018,14(4):439-461
Objectives
This study examines the effectiveness of the High Risk Revocation Reduction (HRRR) program, a reentry program designed to reduce recidivism among offenders released from Minnesota state prisons.Methods
Adult male release violators were randomly assigned to a treatment group that received supplemental case planning and access to community service and programs, or to a control group that received standard case management. Survival analysis was used to examine rearrest, reconviction, reincarceration for a new offense, and supervised release revocation.Results
The results of Cox regression models showed that participation in HRRR significantly reduced the risk of rearrest but had no effect on the other measures of recidivism.Conclusion
The results provide limited support for the program, although its effectiveness appeared to decline during the second phase of implementation. HRRR also reduced costs; however, the estimated benefits were not robust across all sensitivity analyses.3.
4.
Objective
The study extends previous literature (Cochran in J Crim Justice 40:433–440, 2012, J Res Crime Delinq 51(2):200–229, 2014) by simultaneously examining two margins: the probability of receiving a visit and the number of visits a prisoner receives conditional on receiving any visits; adding a level of nuance to the exploration of prison visits.Methods
A random sample of New York State prisoners admitted between 2000 and 2013 who served at least 24 months and had basic admission, release, and transfer data (N = 22,975) were selected. Visit patterns were derived using group-based trajectory models with a zero-inflated Poisson specification and up to a cubic polynomial on probability and count parameters.Results
The best fitting model had seven groups that displayed wide variation in the probability of a visit (in both directions). By contrast, the number of visits, conditional on receiving a visit, is relatively constant over time. Subsequent dual trajectory modeling of prison visits with distance from home county demonstrates that the dynamic patterns of probability of visit correspond with dynamic patterns of distance from home county.Conclusion
We demonstrate that time variation in visitation occurs along the prevalence margin. Researchers interested in studying the longitudinal relationship between visits and outcomes should be attentive to this result. Additionally, characteristics of prisoners assigned to the trajectory groups using Posterior Probabilities of Assignment suggest that pre-prison factors (i.e. criminal record) and in-prison policy decisions (i.e. custody level) are associated with particular patterns of visits over time; highlighting the challenge to understanding the effect of visitation in studies without explicit causal identification strategies.5.
Objectives
An important indicator of discrimination in the criminal justice system is the degree to which race differences in arrest account for racial disproportionality in prisons (“accountability”). A recent National Academy of Sciences (NAS) study raised concerns by reporting low and declining estimates of accountability. Our improved measure accounts for unreported Hispanic arrestees. We measure accountability at intermediate stages, including commitments to prison and time served. We also use victim reports to extend accountability from arrest to differential involvement in violent crimes.Methods
Our methods utilize information on self-reported racial identity of Hispanic prisoners to provide more accurate comparison with the race of arrestees. We also assess accountability for 42 individual states and 4 regions.Results
Our national estimate of accountability is close to previous estimates and much higher than those in the NAS report. Accountability is high for the serious violent crimes of murder and rape, and low for drug trafficking, drug possession, weapons, and aggravated assault, which involve more discretion in arrest, labeling and charging.Conclusions
Our more accurate accountability results contradict the NAS report of low and declining accountability. Regional accountability estimates show no consistently stronger or weaker region. We also show a corrected national estimate of the ratio of black-to-white incarceration-rates has dropped from 6.8 in 1990 to 4.7 in 2011, an important correction to concerns of increasing discrimination. Reports of offenders’ race by victims and arrestees’ race are found to be close, supporting use of arrest as an indicator of involvement in violent crimes.6.
Thomas J. Mowen Richard Stansfield John H. BomanIV 《Journal of Quantitative Criminology》2018,34(4):1079-1101
Objectives
To examine the independent and interdependent roles of baseline religious support during incarceration and within-individual changes in religious support on recidivism during the prisoner reentry process.Methods
Using data from the Serious and Violent Offender Reentry Initiative, cross-lagged dynamic panel models are used to examine the respective roles of baseline differences and within-individual changes in religious support on two variety indices encompassing substance use and criminal offending while simultaneously controlling for pre-incarceration levels of substance use and offending.Results
Findings show that within-individual increases in religious support protect against substance use post-release, while baseline levels of religious support do not significantly influence substance use. Additionally, baseline levels of religious support fail to condition this relationship. Findings assessing criminal offending demonstrate that baseline religious support and within-individual changes in religious support fail to relate to offending independently. However, an interaction term reveals that the combination of the two relates to significantly lower levels of offending post-release.Conclusions
Findings offer encouragement for those involved in the work of providing religious support to ex-offenders in the community, reaffirming that tailoring support programs to the religious or spiritual ways individuals make meaning in their lives can improve reentry outcomes. Methodologically, failing to distinguish between baseline levels of religious support and post-release changes in religious support fails to capture the complexity of religiosity on the reentry process.7.
Nancy Nicosia John M. MacDonald Rosalie Liccardo Pacula 《Journal of Quantitative Criminology》2017,33(1):179-205
Objective
This paper addresses previous shortcomings in the literature on racial disparities in incarceration for drug offenders by taking advantage of a change in sentencing policy in California and a rich administrative dataset that is able to create a sample of comparable White and Black offenders.Method
We use a nonparametric propensity weighting approach to identify similarly situated White and Black male offenders charged with drug-related offenses. We combine this approach with a difference-in-differences model to estimate the effect that a change in California sentencing law for convicted non-violent drug offenders had on racial disparities in prison and drug treatment dispositions.Results
We find substantial reductions in the probability of a prison sentence after the policy change, but not differentially for Blacks. Blacks remain more likely to go to prison than similarly situated Whites after the policy, although the policy does lead to more referrals to treatment for Blacks.Conclusions
This paper shows that even after comparing Blacks and Whites in similarly situated contexts that racial disparities in prison commitments remain after sentencing law changes that mandate diversion to drug treatment. The results suggests that addressing racial gaps in the commitments to state prisons will likely require more than shifting the eligibility of drug convictions for prison, as accumulated criminal histories are the primary driver of prison sentences. This means that expanding diversion options from prison alone will not reduce the racial gap in commitments to prison for drug offenses more than incrementally.8.
Richard Berk Lawrence Brown Andreas Buja Edward George Linda Zhao 《Journal of Quantitative Criminology》2018,34(3):633-655
Objectives
Conventional statistical modeling in criminology assumes proper model specification. Very strong and unrebutted criticisms have existed for decades. Some respond that although the criticisms are correct, there is for observational data no alternative. In this paper, we provide an alternative.Methods
We draw on work in econometrics and statistics from several decades ago, updated with the most recent thinking to provide a way to properly work with misspecified models.Results
We show how asymptotically, unbiased regression estimates can be obtained along with valid standard errors. Conventional statistical inference can follow.Conclusions
If one is prepared to work with explicit approximations of a “true” model, defensible analyses can be obtained. The alternative is working with models about which all of the usual criticisms hold.9.
Cristiano Aguiar de Oliveira 《Journal of Quantitative Criminology》2018,34(1):111-137
Objectives
This study evaluates the effects of precaution technologies (i.e., window bars, extra locks, alarms and electric fences, CCTV, private security, dogs and combinations of these tools) on household burglary and robbery in Brazil.Methods
Using a sample of 121,042 unique households from the Brazilian National Household Sample Survey for 2009, this study estimates a Recursive Bivariate Probit to obtain the average treatment effect of these precaution technologies in the likelihood of home burglary and robbery victimization.Results
This study demonstrates that technology does not reduce home burglaries, but certain combinations of technologies may reduce home robberies. The combination of electric fences and alarms with private security reduces the likelihood of home robbery by 9.5 %, and when combined with a dog, these technologies reduce the likelihood of home robbery by 86 %.Conclusions
No precaution technology is able to prevent crimes when employed independently. Occupancy combined with a set of technologies can reduce the expected victimization in crimes against property.10.
Adeline M. Nyamathi Sheldon Zhang Benissa E. Salem David Farabee Betsy Hall Elizabeth Marlow Mark Faucette Doug Bond Kartik Yadav 《Journal of Experimental Criminology》2016,12(1):49-74
Objectives
This study conducted a randomized controlled trial with 600 recently released homeless men exiting California jails and prisons.Methods
The purpose of this study was to primarily ascertain how different levels of intensity in peer coaching and nurse-partnered intervention programs may impact reentry outcomes; specifically: (a) an intensive peer coach and nurse case managed (PC-NCM) program; (b) an intermediate peer coaching (PC) program with brief nurse counseling; and (c) the usual care (UC) program involving limited peer coaching and brief nurse counseling. Secondary outcomes evaluated the operational cost of each program.Results
When compared to baseline, all three groups made progress on key health-related outcomes during the 12-month intervention period; further, 84.5 % of all participants eligible for hepatitis A/B vaccination completed their vaccine series. The results of the detailed operational cost analysis suggest the least costly approach (i.e., UC), which accounted for only 2.11 % of the total project expenditure, was as effective in achieving comparable outcomes for this parolee population as the PC-NCM and PC approaches, which accounted for 53.98 % and 43.91 %, respectively, of the project budget.Conclusions
In this study, all three intervention strategies were found to be comparable in achieving a high rate of vaccine completion, which over time will likely produce tremendous savings to the public health system.11.
Heather M. Harris Daniel S. Polans David Mazeika Lawrence W. Sherman 《Journal of Experimental Criminology》2016,12(4):599-608
Objectives
To describe how social scientists, criminal justice practitioners, and administrative agencies collected administrative data to follow-up a criminological experiment after two decades. To make recommendations that will guide similar long-term follow-ups.Methods
A case study approach describes the processes of and sociological benefits to collecting administrative data to assess criminal justice and life-course outcomes.Results
While maintaining experimental integrity, we developed, executed, and verified processes to retrieve arrest, mortality, and residential data for the experimental subjects, which enabled us to complete the longest ever follow-up of a criminal justice experiment.Conclusions
When experiments have policy implications, administrative data may be preferable to survey data for assessing primary effects. Successful social science research can be conducted in conjunction with multiple administrative agencies.12.
Cory P. Haberman Jeffrey E. Clutter Samantha Henderson 《Journal of Experimental Criminology》2018,14(2):227-240
Objectives
To examine if the implementation of bike-sharing stations is linked to robbery occurrence in micro-level street corner units in Cincinnati, OH, USA.Methods
Propensity score matching was used to select comparison street corner units. The effect of bike-sharing station implementation on robbery occurrence across weekly, biweekly, and monthly observations was estimated using repeated measures multi-level logistic regression models.Results
Bike-sharing stations did not statistically significantly link to robbery occurrence in immediate or nearby street corner units after implementation.Conclusions
Numerous explanations consistent with Crime Pattern Theory may explain the null effect of bike-sharing stations on robbery occurrence. Future research should continue to examine how changes in the urban backcloth, such as bike-sharing stations, impact geographic crime patterns.13.
Objectives
Inflation is conspicuous by its absence from recent research on crime and the economy. We argue that price inflation increases the rate of crimes committed for monetary gain by fueling demand for cheap stolen goods.Methods
The study includes inflation along with indicators of unemployment, GDP, income, consumer sentiment, and controls in error correction models of acquisitive crime covering the period from 1960 to 2012. Both short- and long-run effects of the predictors are estimated.Results
Among the economic indicators, only inflation has consistent and robust short- and long-run effects on year-over-year change in the offense types under consideration. Low inflation helps to explain why acquisitive crime did not increase during the 2008–2009 recession. Imprisonment rates also have robust long-run effects on change in acquisitive crime rates.Conclusions
Incorporating inflation into studies of crime and the economy can help to reduce the theoretical and empirical uncertainty that has long characterized this important research area in criminology.14.
Gerald G. Gaes William D. Bales Samuel J. A. Scaggs 《Journal of Experimental Criminology》2016,12(1):143-158
Objectives
This study examines the effect of prison versus community sanctions on recommitment to prison and compares two levels of community supervision, community control (house arrest) and probation, evaluating whether the findings are contingent on the type of matching methods used in the analysis.Methods
Logistic regression was conducted on unmatched and matched samples. Exact, coarsened exact, and radius-matching procedures were used to create a selection on observables design. Matching variables included current offense, demographics, criminal history, supervision violations, and a rich set of Florida Sentencing Guidelines information culled from an official scoring sheet. Florida judges use this instrument to sentence offenders within the framework of the state determinate sentencing system.Results
The results show that with exact matching, there is no effect of imprisonment on recommitment, while the other procedures suggest a specific deterrent effect of imprisonment. All four analysis methods showed that offenders under community control are more likely to reoffend than those under normal probation. Analyses between the matched and unmatched prison observations demonstrate that the matched set of prisoners is composed of offenders who have less extensive criminal records and less serious conviction offenses than unmatched offenders regardless of the matching algorithm.Conclusions
Contrary to a prior analysis of these data, which found a criminogenic effect of prison, a null effect was found using exact matching. Comparing the matching procedures, the more precise the match the less likely there was an effect of prison. However, community control was criminogenic regardless of the matching procedure.15.
Trudy van der Stouwe Jessica J. Asscher Machteld Hoeve Peter H. van der Laan Geert Jan J. M. Stams 《Journal of Experimental Criminology》2016,12(4):515-536
Objectives
To examine the post-treatment effectiveness of an outpatient, individual social skills training for juvenile delinquents in the Netherlands and to conduct moderator tests for age, gender, ethnicity, and risk of reoffending.Methods
The sample consisted of juveniles who received Tools4U, a social skills training with a parental component, as a penal sanction (N?=?115). Propensity score matching was used to select a control group of juveniles receiving treatment as usual (TAU) of n?=?108 juveniles (of a total of N?=?354). Assessment of impulsivity, social perspective-taking, social problem-solving, critical reasoning, developmental task-related skills, and treatment integrity took place before and immediately after the treatment.Results
Treatment integrity was found to be sufficient, so that treatment effects could be attributed to the Tools4U training. Tools4U was more effective than TAU in reducing impulsivity, cognitive distortions (self-centering and assuming the worst), and social perspective-taking deficits (hostile intent attribution). No treatment effects were found on adolescents’ social problem-solving skills, and only caretakers of girls showed improvement in parenting skills. Effects on developmental task-related skills were not in the expected direction: after Tools4U, juveniles reported significantly less social acceptance and self-worth than juveniles receiving TAU.Conclusions
Tools4U showed generally small effects and no effects on protective factors, which might limit the long-term treatment effects on delinquency. Treatment effects may be improved by implementing additional techniques and improving the parental component for boys in particular.16.
Alex R. Piquero Wesley G. Jennings Brie Diamond David P. Farrington Richard E. Tremblay Brandon C. Welsh Jennifer M. Reingle Gonzalez 《Journal of Experimental Criminology》2016,12(2):229-248
Objective
To update Piquero et al.’s meta-analysis on early family/parent training programs.Methods
Screening of eligible studies was carried out for the period between January 2008 and August 2015. An additional 23 studies were identified, which were added to the original database of 55 studies, totaling an overall sample of 78 eligible studies. A random-effects model was used to obtain an overall mean effect size estimate. Additional analyses were performed to assess publication bias and moderation.Results
An overall average, positive, and significant effect size of 0.37 was calculated, which corresponds to 32 out of 100 in a treated group versus 50 out of 100 in a control group who offended. There was some evidence of publication bias and moderation.Conclusions
Early family/parent training programs are an effective evidence-based strategy for preventing antisocial behavior and delinquency.17.
The Trajectories of Crime at Places: Understanding the Patterns of Disaggregated Crime Types 总被引:1,自引:0,他引:1
Martin A. Andresen Andrea S. Curman Shannon J. Linning 《Journal of Quantitative Criminology》2017,33(3):427-449
Objectives
Investigate the spatial concentrations and the stability of trajectories for disaggregated crime types on street segments and intersections in Vancouver, Canada.Methods
A longitudinal analysis of 16 years of crime data using street segments and intersections as the units of analysis. We use the k-means non-parametric cluster analysis technique considering eight crime types: assault, burglary, robbery, theft, theft of vehicle, theft from vehicle, other, and total crime.Results
The overall results for the individual crime types versus overall crime are similar: crime is highly concentrated regardless of crime type, most street segment and intersection trajectories are stable over time with the others decreasing, and most decreasing trajectories are in the same general areas. However, there are notable differences across crime types that need to be considered when attempting to understand spatial pattern changes and implement crime prevention initiatives.Conclusions
The law of crime concentration at places holds in Vancouver, Canada for disaggregated crime types in the context of spatial concentrations and their stability over time. However, notable differences exist across crime types that should be accounted for when developing theory or policy.18.
Jessica M. Craig Alex R. Piquero Joseph Murray David P. Farrington 《Journal of Experimental Criminology》2018,14(4):485-506
Objectives
While many criminological theories posit causal hypotheses, many studies fail to use methods that adequately address the three criteria of causality. This is particularly important when assessing the impact of criminal justice involvement on later outcomes. Due to practical and ethical concerns, it is challenging to randomize criminal sanctions, so quasi-experimental methods such as propensity score matching are often used to approximate a randomized design. Based on longitudinal data from the Cambridge Study in Delinquent Development, the current study used propensity score matching to investigate the extent to which convictions and/or incarcerations in the first two decades of life were related to adverse mental health during middle adulthood.Methods
Propensity scores were utilized to match those with and without criminal justice involvement on a wide range of risk factors for offending.Results
The results indicated that there were no significant differences in mental health between those involved in the criminal justice system and those without such involvement.Conclusions
The results did not detect a relationship between justice system involvement and later mental health suggesting that the consequences of criminal justice involvement may only be limited to certain domains.19.
Objectives
Examining the immigration-crime nexus across neighborhoods in the Southern California metropolitan region, this study builds on existing literature by unpacking immigration and accounting for the rich diversity that exists between immigrant groups.Methods
Using data from a variety of sources, we capture this diversity with three different approaches, operationalizing immigrant groups by similar racial/ethnic categories, areas or regions of the world that immigrants emigrate from, and where immigrants co-locate once they settle in the U.S. We also account for the heterogeneity of immigrant populations by constructing measures of immigrant heterogeneity based on each of these classifications. We compare these novel approaches with the standard approach, which combines immigrants together through a single measure of percent foreign born.Results
The results reveal that considerable insights are gained by distinguishing between diverse groups of immigrants. In particular, we find that all three strategies explained neighborhood crime levels better than the traditional approach.Conclusion
The findings underscore the necessity of disaggregating immigrant groups when exploring the immigration-crime relationship.20.
Michael Townsley Daniel Birks Stijn Ruiter Wim Bernasco Gentry White 《Journal of Quantitative Criminology》2016,32(2):283-304