Neighborhood Crime and School Climate as Predictors of Elementary School Academic Quality: A Cross-Lagged Panel Analysis

Past research has found negative relationships between neighborhood structural disadvantage and students’ academic outcomes. Comparatively little work has evaluated the associations between characteristics of neighborhoods and schools themselves. This study explored the longitudinal, reciprocal relationships between neighborhood crime and school-level academic achievement within 500 urban schools. Results revealed that higher neighborhood crime (and particularly violent crime) predicted decreases in school academic achievement across time. School climate emerged as one possible mechanism within this relationship, with higher neighborhood crime predicting decreases in socioemotional learning and safety, but not academic rigor. All three dimensions of school climate were predictive of changes in academic achievement. Although this research supports a primarily unidirectional hypothesis of neighborhoods’ impacts on embedded settings, additional work is needed to understand these relationships using additional conceptualizations of neighborhood climate.     

Estimating state IQ: Measurement challenges and preliminary correlates

The purpose of this study is threefold. First, an estimate of state IQ is derived and its strengths and limitations are considered. To that end, an indicator of downward bias in estimating state IQ is provided. Two preliminary causal models are offered that predict state IQ. These models were found to be highly predictive of state IQ, yielding multiple R's of 0.83 and 0.89. Second, the extent to which state IQ predicts state outcome variables (e.g., gross state product, health, violent crime, and government effectiveness) is estimated. State IQ shows positive correlations with gross state product, health, and government effectiveness and negative correlations with violent crime. These results are consistent with the extent to which IQ predicts outcomes at the level of the individual. Third, a research agenda is provided for improving estimates of state IQ, identifying factors that cause differences in state IQ, and delineating the role of IQ in predicting important variables.     

The impact of rail-based stations on passengers’ safety perceptions. A systematic review of international evidence

Feeling safe in public transport is essential for mobility, and fear of crime can be a larger problem for the individual than crime itself. The aim of the present paper is to systematically review the international evidence in rail-bound environments regarding (a) characteristics impacting safety perceptions and (b) behavioural consequences of unsafety, using the databases ScienceDirect, Scopus, PsycInfo, and Google Scholar. From a selection of 3226 publications, 52 were selected. The sample sizes range from 16 to 137 513 rail users or potential users. A social-ecological framework was adopted to categorize the findings in which place, social, individual, and temporal characteristics were identified along with short-term and long-term behavioural consequences of unsafety. Among the most important characteristics affecting passengers’ safety are lighting, surveillance, other persons’ behaviour, time of day, and one’s own gender. Future studies should further explore the complexity in interactions between characteristics connected to perceived safety.     

Rule-breaking,crime, and entrepreneurship: A replication and extension study with 37-year longitudinal data

Is there an intimate biographical relationship between entrepreneurship and antisocial tendencies? Drawing from Zhang and Arvey's retrospective study [Zhang, Z. & Arvey, R.D. (2009). Rule breaking in adolescence and entrepreneurial status: An empirical investigation. Journal of Business Venturing, 24(5), 436–447], which found a link between entrepreneurship status of male adults and their recalled early antisocial rule-breaking behavior in adolescence, the present study utilized prospective longitudinal data from a Swedish cohort study to clarify the connection between antisocial rule-breaking, crime, and entrepreneurship by applying a developmental perspective. Regression results, which controlled for early socioeconomic background and intellectual competencies, indeed identified early antisocial rule-breaking behavior in adolescence as a valid positive predictor of a subsequent entrepreneurial career in adulthood in men (but not in women). In contrast, registered crime (teenage crime, adult crime, and prototypical trajectories of criminal behavior) as well as rule-breaking attitude in adolescence, as a more latent form of early antisocial tendencies, were relatively unimportant in the prediction of entrepreneurship in both genders. The results are discussed with a focus on rule-breaking and agency theories of entrepreneurship, youth theories, and the importance of looking at gender differences in entrepreneurial development.     

Crime in College Predicts Violent Crime in the National Football League

ABSTRACT

The relationship between past and future crime is one of the most robust findings within criminology. Yet, there have been few attempts to examine whether this linkage holds in specific employment arenas. In this study, we consider the relationship between past and future crime within the context of the National Football League (NFL). Specifically, we assess whether there is a relationship between pre-NFL arrests and arrests while playing in the NFL. Using data on NFL arrestees coupled with an internet-based search of arrests prior to their joining the NFL, we find that pre-NFL arrests are positive and significantly related to violent (but not total or non-violent) arrests. Also, this pattern of findings was observed for non-white NFL players, but not white players. Limitations, future research directions, and policy implications are highlighted.     

The Role of Childhood Neglect and Childhood Poverty in Predicting Mental Health, Academic Achievement and Crime in Adulthood

This study examines the roles of childhood neglect and childhood poverty (family and neighborhood) in predicting Posttraumatic Stress Disorder (PTSD), Major Depressive Disorder (MDD), academic achievement, and crime in young adulthood. Using existing data from a prospective cohort design study, 1,005 children with documented histories of neglect (N = 507) and matched controls (N = 497) were interviewed in young adulthood (mean age 29). Official criminal histories were also used to assess outcomes. Data were analyzed using logistic and ordinary least squares regressions and hierarchical linear modeling (HLM) to control for neighborhood clustering. Results from HLM revealed that childhood neglect and childhood family poverty uniquely predicted PTSD and adult arrest, MDD was predicted only by childhood family poverty, and a significant interaction between childhood family poverty and childhood neighborhood poverty predicted academic achievement for the control group only. Childhood neglect, childhood family poverty, and childhood neighborhood poverty each contribute to poor outcomes later in life. While interventions should be developed for neglected children to prevent negative outcomes, the current findings suggest that it is also important to consider the ecological context in which these children are growing up.     

The association between county-level IQ and county-level crime rates

An impressive body of research has revealed that individual-level IQ scores are negatively associated with criminal and delinquent involvement. Recently, this line of research has been extended to show that state-level IQ scores are associated with state-level crime rates. The current study uses this literature as a springboard to examine the potential association between county-level IQ and county-level crime rates. Analysis of data drawn from the National Longitudinal Study of Adolescent Health revealed statistically significant and negative associations between county-level IQ and the property crime rate, the burglary rate, the larceny rate, the motor vehicle theft rate, the violent crime rate, the robbery rate, and the aggravated assault rate. Additional analyses revealed that these associations were not confounded by a measure of concentrated disadvantage that captures the effects of race, poverty, and other social disadvantages of the county. We discuss the implications of the results and note the limitations of the study.     

Child Maltreatment,Problem Behaviors,and Neighborhood Attainment

Using data from a prospective cohort design study of a group of children with documented histories of abuse and neglect (n = 908) and matched controls (n = 667), this paper examines whether problem behaviors (e.g., prostitution, crime, school problems, and homelessness) in young adulthood explain the link between maltreatment in childhood and living in high‐risk neighborhoods in middle adulthood. Problem behaviors were assessed at mean age of 29 and neighborhood characteristics were assessed at mean age of 40. Child maltreatment predicted living in less desirable neighborhoods in middle adulthood. Problem behaviors in young adulthood partially mediated the relationship between childhood maltreatment and residence in less desirable neighborhoods in middle adulthood. The direct paths from child maltreatment to neighborhoods were not significant for Black children. For White children, there was a direct relationship between child maltreatment and living in an economically disadvantaged neighborhood. Problem behaviors were a stronger mediator between child maltreatment and living in more disordered and less socially cohesive neighborhoods for Black children, while the problem behaviors were a stronger mediator for living in more economically disadvantaged and less socially cohesive neighborhoods for White children. Further research is needed to understand these racial differences. Interventions should focus on preventing problem behaviors to minimize the risk of residency in high‐risk neighborhoods.     

Psychologie du criminel en col blanc: À la recherche de sa personnalité

The aim of this present conceptual analysis is to define the main analytical approaches of the particular form of organizational deviance: white-collar crime. Within the scope of the dispositional heuristic approach, the analysis explores the explanatory potential of a certain idiosyncratic factor: the narcissistic personality. The analysis proposes future avenues of research concerning the identification of personal dispositions underlying white-collar crime.