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1.
Glenn D. Walters 《Journal of Quantitative Criminology》2016,32(2):237-252
Objectives
Crime continuity is one of the best documented and least understood aspects of criminal behavior. Psychological inertia, the notion that cognitive variables mediate the relationship between earlier and later expressions of the same behavior, was tested as a possible explanation for crime continuity.Methods
The cognitive mediation and additive postulates of the psychological inertia theorem were tested in a path analysis using self-report data from 1170 male delinquent members of the Pathways to Desistance study (Mulvey in Paper presented at the American Society of Criminology Annual Meeting, Chicago, IL, 2012). Wave 1 delinquency served as the independent variable, Wave 3 delinquency served as the dependent variable, Wave 2 outcome expectancies for crime, self-efficacy, general criminal thinking, and social capital served as the mediator variables, and 12 different baseline measures from criminological theory served as control variables in this study.Results
General criminal thinking and low self-efficacy successfully mediated the relationship between past and future offending after age, race, early behavioral problems, peer criminality, family criminality, parental knowledge and monitoring, parental hostility, routine activities, measured intelligence, and precursors for each of the mediators were controlled. Social capital (cumulative disadvantage), by comparison, failed to mediate crime continuity in this study.Conclusions
Effective cognitive mediation of the relationship between Wave 1 offending and Wave 3 offending and evidence that the effect may be additive offer preliminary support for the cognitive mediation and additive postulates of the psychological inertia theorem. Practical implications of these results include the need to routinely assess cognitive factors in criminal populations and target these factors for intervention.2.
Cory P. Haberman Evan T. Sorg Jerry H. Ratcliffe 《Journal of Quantitative Criminology》2017,33(3):547-567
Objectives
The present study examined if Weisburd’s (Criminology 53(2):133–157, 2015) law of crime concentration held across different theoretically relevant temporal scales.Methods
The cumulative percentages of Philadelphia, PA USA street blocks and intersections experiencing 25 and 50 % of street robberies by hour of the day, days of the week, and seasons of the year were compared to the bandwidth percentages established by Weisburd (2015). Different analyses were used to determine the stability of the micro-places’ street robbery levels within the three temporal scales.Results
We found that the cumulative percentages of street blocks and intersections experiencing 25 and 50 % of street robberies at each of the three temporal scales closely matched the bandwidth percentages expected from Weisburd (2015) and some micro-places experienced street robberies across all temporal periods while others had more isolated temporal concentrations.Conclusion
Weisburd’s (2015) law of crime concentration holds across different theoretically relevant temporal scales, and future criminology of place studies should not ignore temporal crime patterns. Further, it may be possible to refine hot spots policing approaches by incorporating spatial–temporal crime concentrations.3.
An experimental investigation of the influence of deviant peers on own deviancy: A replication study
Objectives
This study is a replication of a study examining the causal impact of a brief exposure to deviant peers on own deviant behavior, i.e., Paternoster et al. (Journal of Research in Crime and Delinquency, 50:476–503, 2013). This study retested this design using different monetary incentives and a female deviant peer.Methods
A total of 69 university students (61% female) from the Netherlands participated in this laboratory-based study (Mage = 20.64; SD = 2.00) under the façade of a study on individual differences predicting memory recall. Participants could earn up to 10 euros. All participants had the opportunity to cheat to illegitimately earn more money (deviancy). Participants in the experimental condition were exposed to a deviant peer who verbalized her intention to cheat, justified this behavior, and then visibly cheated on the memory recall task.Results
Although participants in both conditions engaged in some deviancy, the brief exposure to a deviant peer significantly increased the amount of deviancy compared to participants who were not exposed to a deviant peer. These results were consistent after controlling for different demographic and theoretical control variables that predict deviancy.Conclusions
Although not identical in magnitude, our results echo those found by Paternoster et al. (2013): Even a brief exposure to a previously unknown deviant peer increases the amount of deviant behavior in young adults. Future research should examine factors predicting the susceptibility to (different types and thresholds of) deviant peer influence.4.
Objectives
To test the liberation hypothesis in a judicial context unconstrained by sentencing guidelines.Methods
We examined cross-sectional sentencing data (n = 17,671) using a hurdle count model, which combines a binary (logistic regression) model to predict zero counts and a zero-truncated negative binomial model to predict positive counts. We also conducted a series of Monte Carlo simulations to demonstrate that the hurdle count model provides unbiased estimates of our sentencing data and outperforms alternative approaches.Results
For the liberation hypothesis, results of the interaction terms for race x offense severity and race x criminal history varied by decision type. For the in/out decision, criminal history moderated the effects of race: among offenders with less extensive criminal histories blacks were more likely to be incarcerated; among offenders with higher criminal histories this race effect disappeared. The race x offense severity interaction was not significant for the in/out decision. For the sentence length decision, offense severity moderated the effects of race: among offenders convicted of less serious crimes blacks received longer sentences than whites; among offenders convicted of crimes falling in the most serious offense categories the race effect became non-significant for Felony D offenses and transitioned to a relative reduction for blacks for the most serious Felony A, B, and C categories. The race x criminal history interaction was not significant for the length decision.Conclusions
There is some support for the liberation hypothesis in this test from a non-guidelines jurisdiction. The findings suggest, however, that the decision to incarcerate and the sentence length decision may employ different processes in which the interactions between race and seriousness measures vary.5.
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.6.
Objectives
Given the growing reliance on longitudinal self-report data for making causal inferences about crime, it is essential to investigate whether the within-individual change in criminal involvement exists and is not a measurement artifact driven by attrition or survey fatigue—a very real possibility first identified by Lauritsen (Soc Forces 77(1):127–154, 1998) using the National Youth Survey (NYS). The current study examines whether the same threats to the validity of within-individual change in criminal involvement exist in the National Longitudinal Survey of Youth 1997 cohort (NLSY97).Methods
We first estimate cohort-specific growth curve models of general crime, arrest, and substance use, and then test the difference between the age–crime curves of adjacent cohorts. We take a general approach to test cohort differences in the growth curve models, which advances the existing method separately modeling for each pair of adjacent cohorts. To explore the sources of cohort differences, we also estimate separate growth curve models by individual crime item and by demographic group.Results
We document non-standard cohort differences between the age–crime curves of adjacent cohort pairs that are consistent with the findings of Lauritsen (1998) on measures of self-reported offending. However, the size of the cohort effects in the NLSY97 is substantially smaller than those in the NYS. We also found that the cohort effects were only evident in some of the survey items. Moreover, we did not identify any similar cohort issues in the longitudinal measure of arrest.Conclusions
The findings of cohort effects localized in a certain crime items and demographic groups may mitigate concerns over the limited validity of longitudinal self-report data. We discuss how the survey techniques used in the NLSY97 might explain our findings and suggest an area of future study to explicate remaining cohort differences.7.
Alex R. Piquero Wesley G. Jennings David P. Farrington Brie Diamond Jennifer M. Reingle Gonzalez 《Journal of Experimental Criminology》2016,12(2):249-264
Objective
To update Piquero et al.’s (Justice Quarterly 27:803–834, 2010) meta-analysis on early self-control improvement programs.Methods
Screening of eligible studies was carried out for the period between January 2010 and September 2015. An additional seven studies were identified, which were added to the original database of 34 studies, totaling an overall sample of 41 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
Overall average, positive, and significant effect sizes were observed for improving self-control (0.32) and reducing delinquency (0.27). There was evidence of publication bias for the self-control improvement outcomes, as well as some evidence of moderation for both self-control improvement and delinquency outcomes.Conclusions
Early self-control improvement programs are an effective evidence-based strategy for improving self-control and reducing delinquency.8.
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.9.
Peter J. Carrington 《Journal of Quantitative Criminology》2016,32(4):613-649
Objectives
Assess gender and age segregation and stratification among co-offenders.Methods
The population comprises co-offenders aged 5–75 in police-reported co-offenses in Canada, 2006–2009. Segregation is indicated by observed and inbreeding homophily, measured with cross-tabulations and log-linear distance models. Stratification is assessed with elaborations by crime type. Intersectionality of gender and age status is estimated with interaction terms in the log-linear models.Results
Female and younger offenders are over-represented among co-offenders. Co-offending exhibits gender and age status homophily: same-gender dyads are approximately twice as frequent as mixed-gender, and same-age-status dyads are almost 7 times as frequent as mixed-age-status. Gender homophily varies by crime type, being stronger in robbery, aggravated assault, common assault, and minor theft, and weaker in serious drug crime and homicide, and (especially) sex crimes against children. Age homophily is strong in all types of crime. Gender and age homophily have a negative interaction: dyads comprising a female child or youth and an adult male occur 1.4 times as frequently as predicted from the main effects of gender and age status.Conclusions
Female and younger offenders are not excluded from co-offending per se but, consistent with expectations from Blau’s (Inequality and heterogeneity. Free Press, New York, 1977) and Steffensmeier’s (Soc Forces 6:1010–1032, 1983) theories, they are segregated from co-offending with male and (especially) adult offenders. There was limited evidence of gender stratification, and no evidence of age stratification. The interaction of gender and age status in the segregation and stratification of co-offending attenuates their individual effects, contrary to expectations from feminist intersectionality theory and consistent with Blau’s (1977) theory.10.
Objectives
This study considers the social determinants of twenty-first century punitive American views.Methods
Using General Social Survey data for 2000 and 2014, this research seeks to replicate Unnever and Cullen’s analysis of the determinants of punitive American views in 2000, extend their analysis to consider animus toward the poor as a predictor of punitive views, and consider the social foundations of punitiveness in 2014.Results
Our analysis replicates Unnever and Cullen’s (Criminology 48: 99–129, 2010) findings for 2000 and identifies previously obscured indirect effects of anti-Black racial stereotypes on punitiveness. In our extension analyses, animus toward the poor was a significant predictor of punitiveness in 2000. For 2014, we find that anti-Black racial resentment, animus toward the poor, and social anxiety significantly predicted both support for the death penalty and the belief that courts are not harsh enough.Conclusions
The social sources of American punitive views have not shifted fundamentally in the last 15 years. Both racial resentment and animus toward the poor have been and remain powerful predictors of punitive American views in the twenty-first century, controlling for other factors.11.
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.12.
When Criminal Coping is Likely: An Examination of Conditioning Effects in General Strain Theory 总被引:1,自引:0,他引:1
Objectives
This paper addresses a central problem in general strain theory (GST): the mixed results regarding those factors said to condition the effect of strains on crime. We test Agnew’s (Deviant Behav 34(8):653–670, 2013) assertion that a criminal response to strain is likely only when individuals score high on several factors that increase the propensity for criminal coping or possess markers that indicate a strong propensity for criminal coping.Methods
We use survey data from nearly 6000 juveniles from across the United States to examine whether the effect of criminogenic strains across several domains—perceptions of police, school environment, and victimization—on crime are conditioned by: (1) respondents’ criminal propensity and (2) gang membership. To the best of our knowledge, this is the first criminological study to employ an analytical framework that simultaneously considers nonlinear (i.e., curvilinear) dynamics, non-additive (i.e., interactive) effects, and non-normally distributed dependent variables. This approach has the advantage of properly differentiating nonlinear and non-additive dimensions and therefore significantly improving our understanding of conditioning effects.Results
We find considerable support for Agnew’s (2013) postulation about conditioning effects and GST. Criminal behavior is more likely among those with a strong overall propensity for criminal coping and among gang members. Furthermore, we discover that the conditioning effects are, themselves, nonlinear. That is, the effect of criminal propensity on moderating the relationship between our three measures of strain and delinquency varies across the range of the criminal propensity index. Our models that simultaneously consider both the non-additive and nonlinear relationship between strains, criminal propensity, and criminal offending better fit the data than models that consider these dimensions separately. These results hold whether examining a composite measure of criminal activity or, alternatively, three separate subscales indexing violent, property, and drug offenses.Conclusion
Our study advances GST and the crime literature by identifying the types of strained individuals most likely to engage in criminal coping. Additionally, the analytical framework we adopt serves as a model for the correct measurement and interpretation of conditioning effects for criminological data, which almost invariably violate the assumptions of the linear regression model. Parametric interactions are the most commonly investigated type of interactions, but other kinds of interactions are also plausible and may reveal conditional relationships that are either overlooked or understated when analysts adopt a fully parametric framework. We demonstrate the utility of expressly modeling both the nonlinear effects of component variables in an interaction and the nonlinear nature of the conditioning effect.13.
Christina Policastro Brent Teasdale Leah E. Daigle 《Journal of Quantitative Criminology》2016,32(4):675-693
Objective
This study explores whether the trajectories of recurring victimization of Black persons diagnosed with major mental illnesses vary from the trajectories of their White counterparts. Further, the study examines whether the risk factors for recurring victimization among persons with major mental illness vary by race.Methods
Using data from the MacArthur Violence Risk Assessment Study (MacRisk), two separate hierarchical binomial regression models were estimated to compare the recurring victimization trajectories of Black and White MacRisk participants. Cross-level interaction terms were also estimated to determine if the coefficients for each of the time-varying covariates included in the analyses were significantly different across race.Results
The findings indicate that the trajectories of recurring victimization for Black persons with serious mental illness are significantly different from those of White persons with serious mental illness. Specifically, Black persons’ trajectories remain relatively stable over time, while the risk of recurring victimization declines for Whites as time since release from the hospital increases. Further, the effects of alcohol abuse on revictimization risk vary by race.Conclusion
The findings suggest that the life experiences of Black persons with mental illness may be different from their White counterparts, which is likely to contribute to distinct patterns of recurring victimization over time. Future research should continue to explore recurring victimization among diverse samples to identify potential sources of the variation in revictimization trajectories across race.14.
Andrew P. Wheeler Robert E. Worden Sarah J. McLean 《Journal of Quantitative Criminology》2016,32(4):589-612
Objectives
Replicate two previous studies of temporal crime trends at the street block level. We replicate the general approach of group-based trajectory modelling of crimes at micro-places originally taken by Weisburd et al. (Criminology 42(2):283–322, 2004) and replicated by Curman et al. (J Quant Criminol 31(1):127–147, 2014). We examine patterns in a city of a different character (Albany, NY) than those previously examined (Seattle and Vancouver) and so contribute to the generalizability of previous findings.Methods
Crimes between 2000 and 2013 were used to identify different trajectory groups at street segments and intersections. Zero-inflated Poisson regression models are used to identify the trajectories. Pin maps, Ripley’s K and neighbor transition matrices are used to show the spatial patterning of the trajectory groups.Results
The trajectory solution with eight classes is selected based on several model selection criteria. The trajectory of each those groups follow the overall citywide decline, and are only separated by the mean level of crime. Spatial analysis shows that higher crime trajectory groups are more likely to be nearby one another, potentially suggesting a diffusion process.Conclusions
Our work adds additional support to that of others who have found tight coupling of crime at micro-places. We find that the clustering of trajectories identified a set of street units that disproportionately contributed to the total level of crime citywide in Albany, consistent with previous research. However, the temporal trends over time in Albany differed from those exhibited in previous work in Seattle but were consistent with patterns in Vancouver.15.
Objectives
Klinger’s (Criminology 35(2): 277–306, 1997) ecological theory of policing addresses the intersection of environment and police organizational structure on police patrol practices. The current study addresses the following question: ‘Is police response to calls for service influenced by the level of serious violent crime or the level of officer staffing?’Methods
This question was addressed using crime, incident, and staffing data supplied by the Philadelphia Police Department. The dependent variable was the number of unfounded events per month, per police district, from 2004 to 2008. Analysis controlled for linear and non-linear trends, average monthly temperature, month length, and spatial effects. Data were analyzed using repeated measures multilevel modeling.Results
Findings suggested that the quantity of unfounded events was associated with both workload and officer staffing levels. Consistent with theoretical predictions, higher workload was associated with more unfounded incidents while higher levels of officer staffing was associated with fewer unfounded incidents, net of ongoing trends and spatial effects.Conclusions
These findings are consistent with the Ecological Theory of Policing and suggest that officers may shed workload in response to higher demands for service or lower levels of officer availability.16.
Iryna Rud Chris van Klaveren Wim Groot Henriëtte Maassen van den Brink 《Journal of Quantitative Criminology》2018,34(1):139-166
Objective
We examine the relationship between early criminal involvement and school dropout, and analyze which factors underlie this relationship, making use of administrative data from the Netherlands.Methods
We start by determining the unconditional correlation between early criminal involvement and school dropout, using a basic ordinary least squares model. As this association is likely to be driven by different factors, we proceed by including an extensive set of observable family and individual characteristics into the estimation model. We further proceed to models that account for the influence of unobservable heterogeneity by estimating school, class, sibling and twin fixed effects.Results
Criminal involvement is associated with an 11 percentage point higher probability of school dropout. The magnitude of this relationship decreases gradually when we account for larger shares of observed and unobserved heterogeneity. The coefficient in the same-gender twin fixed effects model indicates a 3 percentage point higher probability of school dropout, which is statistically significant at a 10 % level. We also find that the association between criminal involvement and school dropout is stronger if juveniles are involved in severe criminal activities.Conclusions
We conclude that the observable and unobservable factors for which we account explain around 73 % of the unconditional correlation between criminal involvement and school dropout. The remaining variation likely reflects individual-specific characteristics that are different between same-gender twins. A true treatment effect, if existing, is likely to be relatively small. At the same time, serious criminal behavior appears to causally affect school dropout.17.
Kyle C. Scherr Christopher J. Normile Maria Camila Sarmiento 《Journal of Experimental Criminology》2018,14(4):529-538
Objectives
People are hesitant to fully support reintegration efforts (e.g., opportunities to receive psychological counseling, career counseling, job training, housing assistance, educational opportunities, financial compensation) to help exonerees wrongfully convicted of a crime. However, underlying reasons motivating people’s hesitancy remain unaddressed. This research examined the influence of being wrongfully convicted of a race stereotypic-consistent crime on people’s judgments of exonerees’ culpability and willingness to support reintegration programs.Method
Using an experimental design, participants were randomly assigned to read a news story that depicted an African-American or White male who was exonerated after being wrongfully convicted of assault or embezzlement. Participants then offered their culpability judgments (i.e., their belief in the exoneree’s guilt and confidence in that belief) and willingness to support reintegration services.Results
Participants were less confident of the exoneree’s innocence and less supportive of psychological counseling services when the exoneree was a White, compared to African-American, male wrongfully convicted of the race stereotypic-consistent crime of embezzlement. An exploratory conditional mediation analysis indicated that less confidence in the exoneree’s innocence after being wrongfully convicted of a race stereotypic-consistent crime was, in turn, associated with people’s hesitancy to support psychological counseling for the exoneree.Conclusions
Basic and applied implications to overcome people’s hesitancy to support reintegration efforts for exonerees are discussed.18.
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.19.
Jillian J. Turanovic Travis C. Pratt Alex R. Piquero 《Journal of Quantitative Criminology》2018,34(1):251-274
Objectives
Research indicates that victims who make changes to their risky behavioral routines are better able to avoid being victimized again in the future. Nevertheless, some victims’ abilities to change their behaviors may be limited by what Hindelang et al. in Victims of personal crime: an empirical foundation for a theory of personal victimization. Ballinger, Cambridge (1978) referred to as “structural constraints.” To assess this issue, we determine: (1) whether victims who reside in communities characterized by structural constraints (e.g., concentrated disadvantage) are more likely to continue engaging in risky behaviors (e.g., offending, illicit drug use, and getting drunk) after being victimized; and (2) whether victims who continue to engage in risky lifestyles have an increased likelihood of repeat victimization.Methods
Ten waves of data (spanning nearly 7 years) from the Pathways to Desistance Study are used, and multilevel models are estimated to examine changes to risky lifestyles and repeat victimization among a subsample of victims.Results
Findings indicate that community-level structural constraints impose limits on the changes that victims make to their risky lifestyles, and that these changes influence repeat victimization.Conclusions
We conclude that, in the context of repeat victimization, structural constraints are both real and consequential, and that future theory and research should continue to explore how context shapes and influences victims’ behavioral routines.20.
Rebecca Umbach Adrian Raine Ruben C. Gur Jill Portnoy 《Journal of Quantitative Criminology》2018,34(2):481-512