Explaining crime for a young adult population: An application of general strain theory

Ostrowsky, Michael K.; Messner, Steven F.

doi:10.1016/j.jcrimjus.2005.06.004

Cited by 82 publications

(68 citation statements)

References 34 publications

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“…Or, is youths' forecasted criminal engagement the consequence of a thought process that uses only a limited amount of the available and relevant information? Furthermore, while much of the extant research on engagement in criminal activity has examined past crimes (e.g., Ostrowsky & Messner, 2005) We conducted two studies that tested the above competing views on the impact of risk perceptions on forecasted engagement in criminal activity. In Study 1, youth were asked to think about the potential benefits and drawbacks of three different criminal activities (i.e., buying an illegal drug, shoplifting a small item, and forging a signature), to judge the perceived importance and probabilities of these outcomes, and to forecast their engagement in these behaviours.…”

Section: Competing Views On the Impact Of Risk Perceptions On Criminamentioning

confidence: 99%

Crime as risk taking

Dhami

Mandel

2012

Psychology, Crime & Law

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Section: Competing Views On the Impact Of Risk Perceptions On Criminamentioning

confidence: 99%

Crime as risk taking

Dhami

Mandel

2012

Psychology, Crime & Law

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“…Evidence for negative outcomes in early adulthood because of depressive symptoms also suggested the need to consider the role of each partner's depressive symptoms as putative risk factors for crime in early adulthood. Depression is associated with cumulative life failures (Capaldi and Stoolmiller, 1999) and has been found to affect offending behavior for men (Ostrowsky and Messner, 2005). It also may be that these co-occurring factors account for any association of women's antisocial behavior and men's persistence in crime.…”

Section: Substance Use and Depressive Symptomsmentioning

confidence: 99%

Romantic Partners' Influence on Men's Likelihood of Arrest in Early Adulthood*

2008

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Female romantic partners' influence on official crime occurrence for men across a 12-year period in early adulthood was examined within a comprehensive dynamic prediction model including both social learning and social control predictors. We hypothesized that relationship stability, rather than attachment to partner, would be associated with reduced likelihood of crime, whereas women's antisocial behavior would be a risk factor, along with deviant peer association. Models were tested on a sample of at-risk men [the Oregon Youth Study (OYS)] using zero-inflated Poisson (ZIP) modeling predicting to 1) arrest persistence (class and count) and 2) arrest onset class. Findings indicated that women's antisocial behavior was predictive of both onset and persistence of arrests for men, and deviant peer association was predictive of persistence. Relationship stability was protective against persistence.Keywords adult onset; crime in early adulthood; desistance; partner influence; persistence; deviant peer association; attachment to partner Deborah Capaldi is a senior scientist at the Oregon Social Learning Center in Eugene, Oregon. Originally from England, she received her Ph.D. degree in developmental psychology from the University of Oregon. Her research centers on the causes and consequences of antisocial behavior across the life span, including aggression in young couples' relationships, depressive symptoms, health risking sexual behaviors, substance use, and the transmission of risk across three generations. Her recent articles have addressed aspects of all these topics and have appeared in Development and Psychopathology, Journal of Family Psychology, Journal of Marriage and Family, and Journal of Abnormal Psychology. Hyoun Kim is a research scientist at the Oregon Social Learning Center in Eugene, Oregon. Her research interests include individual, social, and contextual influences on the development of psychopathology from adolescence through early adulthood, including depression and other Deborah M. Capaldi, Ph.D., 10 Shelton McMurphey Blvd., Eugene, OR 97401, deborahc@oslc.org, Phone 541-485-2711, FAX 541-485-7087. 1 An alternative model for count data with excess zeros could be provided by using the zero-inflated negative binomial (ZINB) distribution.To check whether an underlying ZINB distribution would provide a better fit to the modeled data than the analyses, assuming an underlying ZIP distribution, the final model containing predictors to class and count was examined within R (R Development Core Team, 2006) using a ZINB distributional assumption. The deviance statistic for the ZINB model was 538.8, compared with the ZIP model with 1 degree of freedom. The resulting difference (chi-square 3.2, 1 d.f.). was not significant at the .05 level, which indicates that the neither the ZIP nor the ZINB model provided a significantly better fit to the data. As an additional test of whether the two-class ZIP model provided an adequate fit to modeling the excess zeros in the Poisson distribution, a parametri...

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“…Agnew's theory was tested in a sample of 12-and 15-year-old males and females, and results support his conclusions, even when controlling for factors such as relationships with deviant peers (Agnew & White, 1992). Recent empirical investigations have reached similar conclusions (Broidy, 2001;Ostrowsky & Messner, 2005;Paternoster & Mazerolle, 1994). However, others have criticized Agnew's theory on the basis that general strain theory often overlaps other theoretical constructs, such as control theory, which renders identifying the unique contribution of general strain theory difficult (Froggio, 2007).…”

Section: Sociological Theoriesmentioning

confidence: 66%

Classifying Violent Versus Nonviolent Offending in a Diverse Sample of Adolescent Juvenile Delinquents

Schoenfield¹

2011

PsycEXTRA Dataset

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Explaining crime for a young adult population: An application of general strain theory

Cited by 82 publications

References 34 publications

Crime as risk taking

Crime as risk taking

Romantic Partners' Influence on Men's Likelihood of Arrest in Early Adulthood*

Classifying Violent Versus Nonviolent Offending in a Diverse Sample of Adolescent Juvenile Delinquents

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