The role of broken homes in the development of self-control: A propensity score matching approach

Criminologists have frequently identified broken homes as a risk factor for involvement in crime and delinquency. The association between broken homes and antisocial behavior has been replicated in numerous studies, and despite being entrenched within the study of delinquency, there is a lack of research examining its impact on the development of self-control. This is somewhat surprising given that low self-control has been shown to be a robust and consistent predictor of antisocial behavior. We address this void in the literature by examining the role of broken homes in the development of self-control in early childhood using propensity score matching. Analysis of the Fragile Families and Child Wellbeing Study revealed a statistically significant association between broken homes and the development of self-control prior to matching. After matching on six key maternal and paternal covariates, the association between broken homes and levels of self-control was no longer statistically significant. We discuss what these findings mean for criminological theories.     

Genetic and environmental influences underlying the relationship between low self-control and substance use

Purpose

The current study seeks to examine the relationship between low self-control and cigarette smoking, alcohol use, and marijuana use in adolescence and adulthood using behavioral genetic methodology.

Methods

Using a subsample of twin pairs from the National Longitudinal Study of Adolescent Health (Add Health), the current study estimates the genetic and environmental overlap between low self-control and substance use (or problems associated with substance use) across four waves of data collection.

Results

The overall pattern of results suggests that genetic factors explain a moderate proportion of the variance in low self-control and substance use in both adolescence and adulthood. Furthermore, bivariate genetic analyses reveal that the correlation between low self-control and substance use is due, for the most part, to common genetic and nonshared environmental factors.

Conclusions

The current study adds to a growing body of biosocial research on self-control and its relationship to criminal and analogous behaviors. The implications of our findings for the general theory of crime are discussed.     

Enhancing Space Security by Improving Stakeholder Cooperation

Improving security in space requires the establishment of a consensus among actors on what it means to be safe in space, what kinds of activities should be allowed, and what activities should be prohibited. However, a necessary precursor to the emergence of such consensus is enhanced cooperation among space stakeholders. As of today, leading space actors are moving in often contradictory directions. In addition, the various sectors of the space community—industry, defense, science and manned space—tend to operate in isolation from each other. While there is a recognition of the need for improved cooperation in space, this can be achieved only if actors are made more aware of activities in other sectors that affect (or might affect) them and can craft mutually acceptable solutions with other actors. More efforts are needed to educate space stakeholders across sectors in this regard. By better understanding how the activities of all space actors are inter–related, the international community should be in a position to develop a more integrated concept of space security.     

Identifying psychological pathways to polyvictimization: evidence from a longitudinal cohort study of twins from the UK

Journal of Experimental Criminology - Examine the extent to which cognitive/psychological characteristics predict later polyvictimization. We employ a twin-based design that allows us to test the...     

On the consequences of ignoring genetic influences in criminological research

Purpose

Many criminological scholars explore the social causes of crime while giving little consideration to the possibility that genetic factors underlie the observed associations. Indeed, the standard social science method (SSSM) assumes genetic influences do not confound the association between X and Y. Yet, a nascent stream of evidence has questioned the validity of this approach by revealing many criminological variables are at least partially affected by genetic influences. As a result, a substantial proportion of the literature may be misspecified due to uncontrolled genetic factors. No effort has been made to directly estimate the extent to which genetic confounding has biased the associations presented in criminological studies.

Methods

The present study seeks to address this issue by drawing on simulated datasets.

Results/Conclusions

Results suggest genetic confounding may account for a negligible portion of the relationship between X and Y when their correlation (r_yx) is larger than the correlation between genetic factors and Y (i.e., r_yx > r_yg). Genetic confounding appears to be much more problematic when the correlation between X and Y is in the moderate-to-small range (e.g., r_yx = .20) and the genetic effect is in the moderate-to-large range (e.g., r_yg ≥ .30).     

Genetic risk factors correlate with county-level violent crime rates and collective disadvantage

Purpose

Social scientists have a rich tradition of uncovering the neighborhood, structural, and ecological correlates of human behavior. Results from this body of evidence have revealed that living in disadvantaged communities portends myriad negative outcomes, including antisocial behaviors. Though it has long been argued that associations between neighborhood factors and individual-level outcomes may, at least partially, reflect genetic selection, a paucity of research has empirically investigated this possibility.

Methods

The current study examined whether known genetic risk factors for antisocial behavior were predictive of exposure to disadvantage and violent crime measured at the county level. Drawing on genotypic data from the National Longitudinal Study of Adolescent Health, a dopamine risk scale was created based on respondents’ genotypes for DAT1, DRD2, and DRD4. County-level disadvantage was measured via Census data and violent crime rates were measured via the FBI’s Uniform Crime Reports.

Results

Findings revealed that individuals with a greater number of dopamine risk alleles were more likely to live in a disadvantaged county and were more likely to live in a county with higher violent crime rates.     

Low Resting Heart Rate and Rational Choice: Integrating Biological Correlates of Crime in Criminological Theories

Purpose

The current work examined the association between low resting heart rate and perceptions of the costs and benefits of criminal behavior.

Methods

Data were gathered from a sample of students in introductory criminal justice classes. Perceptions of the costs and benefits of crime were measured in response to scenarios describing assault, theft and drunk driving.

Results

Those with low resting heart rate perceived a lower likelihood of sanction and were less likely to anticipate a sense of guilt/shame should they commit assault during a confrontation. Those with low resting heart rate were also more likely to indicate that they would commit the act described in the assault scenario. Anticipated guilt/shame mediated the relationship between low resting heart rate and intent to engage in assault.

Conclusions

Low resting heart rate was related to estimations of the costs and benefits of offending. Perceived costs (anticipated guilt/shame) mediated the relationship between resting heart rate and intent to commit assault.     

On the relationship of past to future involvement in crime and delinquency: A behavior genetic analysis

Purpose

Criminologists have devoted much attention to identifying the factors that drive stability in antisocial behavior. This body of research has, however, overlooked the contributions of behavior genetic research. This study sought to blend behavior genetics with the different perspectives used by criminologists to explain stability.

Methods

Employing a behavioral genetic research design, the current study analyzed the correlation between adolescent and adulthood crime (a 13 year time span was covered between the two time points) among a sample of sibling pairs drawn from the National Longitudinal Study of Adolescent Health (Add Health).

Results

The findings revealed that genetic factors accounted for nearly all of the stability in offending behavior from adolescence to adulthood. Environmental factors (particularly, of the nonshared variety) accounted for the majority of the changes in offending.

Conclusions

The implications of these results for criminological research and theory are discussed.