Identifying gender specific risk/need areas for male and female juvenile offenders: Factor analyses with the Structured Assessment of Violence Risk in Youth (SAVRY).

2016 ◽  
Vol 40 (1) ◽  
pp. 82-96 ◽  
Author(s):  
Ed L. B. Hilterman ◽  
Ilja Bongers ◽  
Tonia L. Nicholls ◽  
Chijs van Nieuwenhuizen
Keyword(s):  
Juvenile Offenders ◽  
Violence Risk ◽  
Factor Analyses ◽  
Female Juvenile Offenders ◽  
Male And Female ◽  
Specific Risk ◽  
Gender Specific

Female Juvenile Offenders' Perceptions of Gender-Specific Programs

2013 ◽  
Author(s):  
Angela Doreen Broadus ◽  
Monica K. Miller ◽  
Lacey Miller
Keyword(s):  
Juvenile Offenders ◽  
Female Juvenile Offenders ◽  
Gender Specific

scholarly journals The Relationship Between Trauma, Recidivism Risk, and Reoffending in Male and Female Juvenile Offenders

2018 ◽  
Vol 12 (3) ◽  
pp. 351-364 ◽  
Author(s):  
Nina A. Vitopoulos ◽  
Michele Peterson-Badali ◽  
Shelley Brown ◽  
Tracey A. Skilling
Keyword(s):  
Juvenile Offenders ◽  
Female Juvenile Offenders ◽  
Male And Female ◽  
Trauma Recidivism ◽  
The Relationship

A Cluster-Analytic Investigation of MMPI Profiles of Serious Male and Female Juvenile Offenders

2003 ◽  
Vol 42 (7) ◽  
pp. 770-777 ◽  
Author(s):  
Dorothy L. Espelage ◽  
Elizabeth Cauffman ◽  
Lisa Broidy ◽  
Alex R. Piquero ◽  
Paul Mazerolle ◽  
...  
Keyword(s):  
Juvenile Offenders ◽  
Analytic Investigation ◽  
Female Juvenile Offenders ◽  
Male And Female ◽  
Cluster Analytic

What makes a difference? Evaluating the key distinctions and predictors of sexual and non-sexual offending among male and female juvenile offenders

2017 ◽  
Vol 7 (2) ◽  
pp. 134-150 ◽  
Author(s):  
Bryanna Fox
Keyword(s):  
Juvenile Offenders ◽  
Sex Offenders ◽  
Sexual Offending ◽  
Binary Logistic Regression ◽  
Criminal History ◽  
Female Juvenile Offenders ◽  
Male And Female ◽  
Content Type ◽  
New Findings ◽  
The Usa

Purpose The purpose of this paper is to evaluate the ability of a comprehensive set of covariates to distinguish and predict juvenile sex offenders (JSOs) from non-sexual juvenile offenders (NSJOs) using demographic traits, criminality covariates, childhood trauma, and psychopathologies in a sample of male and female juvenile offenders in the USA. Design/methodology/approach A multivariate binary logistic regression will be conducted on a total of 64,329 juvenile offenders in Florida to determine what demographic, criminal history, childhood traumas, and psychopathologies make a difference in identifying sexual and NSJOs while controlling for the other key predictors in the model. Findings Results indicate that having an earlier age of criminal onset and more felony arrests, experiencing sexual abuse or being male, having low empathy, high impulsivity, depression, and psychosis all significantly increase the risk of sexual vs non-sexual offending among the male and female juvenile offenders, even while controlling for all other key covariates in the analysis. Originality/value This study uncovered many new findings regarding the key distinguishing traits of juvenile sex offending vs non-sexual offending, using a comprehensive list of predictors, a large sample of male and female offenders, and a rigorous statistical methodology.

Psychometric properties of the Socially Desirable Response Set-5 among incarcerated male and female juvenile offenders

2016 ◽  
Vol 49 ◽  
pp. 17-21 ◽  
Author(s):  
Pedro Pechorro ◽  
Lara Ayala-Nunes ◽  
João Pedro Oliveira ◽  
Cristina Nunes ◽  
Rui Abrunhosa Gonçalves
Keyword(s):  
Juvenile Offenders ◽  
Psychometric Properties ◽  
Female Juvenile Offenders ◽  
Male And Female ◽  
Desirable Response ◽  
Response Set
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