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Louisiana State University

Delinquency

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Full-Text Articles in Social Work

A Study Of Elementary School Children At Risk For Truancy: Exploring Gender Differences, Services Offered, And Other Factors Related To Truancy, Alice Joseph Jan 2008

A Study Of Elementary School Children At Risk For Truancy: Exploring Gender Differences, Services Offered, And Other Factors Related To Truancy, Alice Joseph

LSU Master's Theses

This cross sectional, exploratory study examined the characteristics of elementary school children at risk for truancy. Furthermore, the study explored if there were any significant gender differences in the number of children referred to the TASC program. The current study also sought to answer if there were any gender differences in common problem areas reported to have an impact on truancy. Finally, any differences between children identified as low risk and high risk were also investigated. This study used secondary data analysis. Elementary school children (N = 23,459), grades Kindergarten through 4th grade who participated in the TASC program of ...


Analysis Of The Association Between Socio-Demographic Variables, Juvenile Offending, And Formal Vs. Informal Juvenile Justice System Handling In A Non-Urban Sample, Stephen W. Phillippi, Jr. Jan 2007

Analysis Of The Association Between Socio-Demographic Variables, Juvenile Offending, And Formal Vs. Informal Juvenile Justice System Handling In A Non-Urban Sample, Stephen W. Phillippi, Jr.

LSU Doctoral Dissertations

PURPOSE: This study compares and contrasts first-time juvenile offenders enrolled in a community-based intervention program whose cases were processed either informally or formally, and examines empirically- and conceptually-relevant contributors to re-offending. METHODS: This is a longitudinal, secondary analysis of 1072 male and female offenders. The study includes descriptive univariate analyses; chi-square bivariate analyses of each independent variable with the dependent variables (level of processing and recidivism at both one and three years); and binary logistic regression analyses to identify significant predictors of the dependent variables. Independent variables include age, gender, race, family structure, marital status of biological parents, family income ...