Crime Victimization and Fear of Crime

Ellis, Lee M.; Farrington, David P.; Hoskin, Anthony W.

doi:10.1016/b978-0-12-804417-9.00008-9

Cited by 13 publications

(18 citation statements)

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“…The demographic control measures of gender and race are included to determine whether, and to what extent, the likelihood of being an early onset versus adolescent onset JSO versus JNSO varies by gender or race (see Ellis, Beaver, & Wright, 2009; Fix, Cyperski, & Burkhart, 2017; Murphy, DiLillo, Haynes, & Steere, 2001). Gender is a dichotomous variable, where 1 = male and 0 = female.…”

Section: Methodsmentioning

confidence: 99%

Do Developmental and Life-Course Theory Risk Factors Equally Predict Age of Onset Among Juvenile Sexual and Nonsexual Offenders?

2018

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Previous empirical inquiries into the etiology of juvenile sex offending have been largely atheoretical. Consequently, a call for studies conducted utilizing developmental and life-course (DLC) criminological theory has been made to better understand the onset, development, risk, and protective factors of juvenile sex offending. Therefore, this study contributes to the discussion by testing key predictions proposed by the DLC framework regarding the theoretical correlates of early onset offending, as applied to juvenile sex offenders (JSOs) and juvenile nonsex offenders (JNSOs). Drawing on a data set of more than 64,000 youth referred to the Florida Department of Juvenile Justice, results indicate that although the number and severity of risk factors for early age of onset differ between the JSOs and JNSOs, the specific type of risk factors that emerged align with DLC theory predictions. The implications of these findings and contributions for DLC theory are also discussed.

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Section: Methodsmentioning

confidence: 99%

Do Developmental and Life-Course Theory Risk Factors Equally Predict Age of Onset Among Juvenile Sexual and Nonsexual Offenders?

2018

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“…Gender, age of criminal onset, and criminal record are consistently among the best predictors of future criminal behavior (Becker, Harris, & Sales, 1993; DeLisi & Piquero, 2011; Ellis, Beaver, & Wright, 2009) and were all found to be significant predictors of juvenile sex offending (Fox, 2017). Therefore, these measures will be utilized as measures when developing the typology of JSOs in this study.…”

Section: Methodsmentioning

confidence: 99%

From Criminological Heterogeneity to Coherent Classes

Fox

DeLisi

2017

Youth Violence and Juvenile Justice

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Although juvenile sex offenders (JSOs) are a pressing topic among researchers and juvenile justice practitioners, empirically driven typologies of JSOs using U.S. data are lacking. Here, we develop the first statistical typology of male and female JSOs using data from the United States selected from a sample of 4,143 JSOs referred to the Florida Department of Juvenile Justice. Significant predictors of juvenile sex offending (age of criminal onset, criminal history, impulsivity, empathy, depression, psychosis, and childhood sexual abuse) derived from the literature were used as grouping covariates to develop a profile of male and female JSOs using a latent class analysis (LCA). Results of the LCA show four unique subtypes of male JSOs and two subtypes of female JSOs exist within the data. These groups had differential compositions for key features such as criminal history and onset, psychopathologies, empathy and impulsivity, and sexual abuse victimization. These differences may be critical toward developing more tailored and effective correctional and treatment responses that balance containment and therapeutic approaches depending on the individual needs of the JSOs based upon their profile. Other practical and theoretical implications of these findings are discussed.

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“…This represents an important advancement in identifying typologies of YSOs, as they represent the first among person-centered approaches to YSO typology research. A limitation of their studies, as with all other typology studies of YSOs to date, is that the items overlap with predictors of offending more generally (DeLisi & Piquero, 2011; Ellis, Beaver, & Wright, 2009), perhaps challenging an ability to subtype YSOs distinctly from youth who commit nonsexual crimes. To reduce the overlap with general delinquents, the current study attempts to classify YSOs only using items that pertain to their sexual offenses.…”

Section: Pathways To Sexual Offending and Yso Typologiesmentioning

confidence: 99%

Using Latent Class Analysis to Explore Subtypes of Youth Who Have Committed Sexual Offenses

Brown

2018

Youth Violence and Juvenile Justice

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Attempts to identify typologies of youth who have committed sexual offenses have been challenged by their overlapping characteristics with youth who have committed nonsexual crimes, as well as methodological limitations that make the results difficult to translate into direct practice. In the current study, a technical new way of identifying subtypes of these young people was proposed using latent class analysis, a person-centered approach that allows categorical subtypes to be revealed by the data rather than hypothesized differences based on individual factors. The indicators included in this analysis were sexual behaviors only, thereby eliminating any overlap with general delinquents. In a sample of 573 male youth between the ages of 11 and 20 ( M = 16.75, SD = 1.72), four unique classes were identified. Research implications are offered.

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Crime Victimization and Fear of Crime

Cited by 13 publications

References 0 publications

Do Developmental and Life-Course Theory Risk Factors Equally Predict Age of Onset Among Juvenile Sexual and Nonsexual Offenders?

Do Developmental and Life-Course Theory Risk Factors Equally Predict Age of Onset Among Juvenile Sexual and Nonsexual Offenders?

From Criminological Heterogeneity to Coherent Classes

Using Latent Class Analysis to Explore Subtypes of Youth Who Have Committed Sexual Offenses

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