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Wooldredge, John; Thistlethwaite, Amy

doi:10.1023/a:1013292812895

Cited by 60 publications

(6 citation statements)

References 43 publications

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“…Yet assignment of students to schools in the United States is primarily on the basis of residential geography, so aggregating students by schools tends to aggregate them by neighborhood as well. Furthermore, Wooldredge (2002) has shown that findings about neighborhood effects are not sensitive to variation in definitions of neighborhoods (such as official designations, census tracts or census block groups). Thus, we expect that our results will be similar to those produced by a neighborhood level analysis.…”

Section: Unit Of Aggregationmentioning

confidence: 99%

Unstructured Socializing and Rates of Delinquency

2004

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This article applies an individual-level routine activities perspective to explaining rates of delinquency. The theoretical analysis also links the opportunity processes of that perspective to key themes of social disorganization theory. Multilevel analyses of 4,358 eighth-grade students from thirty-six schools in ten cities support the central hypothesis: Time spent in unstructured socializing with peers has both individual and contextual effects that explain a large share of the variation in rates of delinquency across groups of adolescents who attend different schools. In addition, parental monitoring has a very strong contextual effect on unstructured socializing, which supports the proposed integration of routine activity and social disorganization perspectives.Although it is individual adolescents who engage in delinquent behavior, delinquency is not strictly an individual-level phenomenon. Rates of delinquency also vary across groups, such as networks of friends (Esbensen and Huizinga, 1993;Haynie, 2001), youth attending the same The authors are especially grateful to Finn Esbensen for access to these data and for his longstanding support for their work. Thanks also to Rich Felson, Phil Schwadel, Jennifer Schwartz, Brian Goesling and Eric Silver for helpful comments on earlier drafts.

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Section: Unit Of Aggregationmentioning

confidence: 99%

Unstructured Socializing and Rates of Delinquency

2004

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“…By contrast, neighborhood-level results offer support for racial invariance (Krivo and Peterson, 1996), but McNulty (2001) demonstrated that the distributions of pooled violence rates are not equal across black versus white neighborhoods and so may produce misleading results. By contrast, neighborhood-level results offer support for racial invariance (Krivo and Peterson, 1996), but McNulty (2001) demonstrated that the distributions of pooled violence rates are not equal across black versus white neighborhoods and so may produce misleading results.…”

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confidence: 99%

Neighborhood Structure and Race‐specific Rates of Intimate Assault*

Wooldredge

Thistlethwaite

2003

Criminology

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Addressing the methodological shortcomings of extant research on the racial invariance thesis, race-specific rates of intimate assault are examined acron census tracts in Hamilton County, Ohio. W e extend Miles-Doan 's (1998) approach to examining neighborhood structural effects on intimate assault rates in order to test the racial invariance thesis. Findings reveal comparable effects of neighborhood disadvantage and population age structure on assault rates for African-American males and white males, yet a stronger effect of "disinvestment" (in marriage and in neighborhoods) on rates for African-Americans. These results conflict with previous city-level analyses demonstrating stronger structural effects on other violent crime rates for whites.

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“…Cattaneo and Goodman 2005identified "living together" as a predictor of IPV recidivism among male offenders in five of nine studies assessing this variable (three positively and two negatively associated; Ford & Regoli, 1992;Gondolf, 1997;Harrell & Smith, 1996;Miller & Krull, 1997;Wooldredge & Thistlewaite, 2002). Living together has also been reported as a significant predictor of persistent physical partner aggression among male and female perpetrators in a more recent study that involved adolescent and adult couples (Whitaker et al, 2010).…”

Section: Draor With Intimate Partner Violence Offendersmentioning

confidence: 99%

Predictive Validity of the Dynamic Risk Assessment for Offender Re-Entry Among Intimate Partner Violence Offenders

Perley-Robertson¹

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Intimate partner violence (IPV) is among the most common acts of violence against women worldwide, making it a major global threat to women's health and safety. The assessment and management of IPV offenders are therefore vital tasks in criminal justice systems. The current study examined whether the DRAOR, a case management tool, predicted repeat partner abuse among 112 male IPV offenders in Iowa, U.S. While the DRAOR did not predict IPV recidivism in this sample, it appears to be useful for informing case management decisions among partnerviolent men. Risk factors that emerged as important treatment targets were poor attachment with others, substance abuse, anger/hostility, opportunity/access to victims, problematic interpersonal relationships, and overall acute risk. Further research is needed to improve the utility of the DRAOR for predicting IPV recidivism, but this study tentatively supports the use of the DRAOR for supervising IPV offenders until an IPV-specific case management tool is developed.

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Untitled

Cited by 60 publications

References 43 publications

Unstructured Socializing and Rates of Delinquency

Unstructured Socializing and Rates of Delinquency

Neighborhood Structure and Race‐specific Rates of Intimate Assault*

Predictive Validity of the Dynamic Risk Assessment for Offender Re-Entry Among Intimate Partner Violence Offenders

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