An assessment of risk factors for early death among a sample of previously incarcerated youth

Most previous research regarding early death prior to, or during, young adulthood among previously detained delinquent youth has focused predominantly on males or on their cause of death. This study extends previous research by evaluating potential factors that are associated with early death in a random sample (N?=?999) of formerly detained youthful offenders in New York stratified by gender (50% female). Existing case records were referenced with the National Death Index to determine if the formerly detained youth were deceased by the time they would have reached age 28. Regression analyses were run to determine if any of 16 sociodemographic, offense history, weapons/gang involvement, mental health, substance use, child maltreatment, child welfare, or family environmental risk factors measured in their childhood or adolescence were associated with early death. Two additional regression analyses were run to determine if those risk factors differentially impacted early death for males vs. females. Of the variables measured, however, only gender was significantly related to early death – compared to females, males were 2.3 times more likely to have prematurely died. Additionally, in the model run separately for females, being an African-American female was protective against early death. These findings are compared to findings from the existing literature.     

Improving the Implementation and Effectiveness of Out‐of‐School‐Time Tutoring

School districts are spending millions on tutoring outside regular school day hours for economically and academically disadvantaged students in need of extra academic assistance. Under No Child Left Behind (NCLB), parents of children in persistently low‐performing schools were allowed to choose their child's tutoring provider, and together with school districts, they were also primarily responsible for holding providers in the private market accountable for performance. We present results from a multisite, mixed‐method longitudinal study of the impact of out‐of‐school time (OST) tutoring on student reading and mathematics achievement that link provider attributes and policy and program administration variables to tutoring program effectiveness. We find that many students are not getting enough hours of high‐quality, differentiated instruction to produce significant gains in their learning, in part because of high hourly rates charged by providers for tutoring. We identify strategies and policy levers that school districts can use to improve OST tutoring policy design and launch improved programs as waivers from NCLB are granted.     

Conjunctive use of quantitative and qualitative X-ray diffraction analysis of soils and rocks for forensic analysis

This paper describes a repeatability test, comparing conventional X-ray diffraction (XRD) analyses with the technique of quantitative X-ray diffraction (QXRD) as a determinant of mineral abundance. The conjunctive use of both methods allows specific mineral abundances to be matched between scene of crime (SOC) and suspects where soil or substrate mineralogy is similar. In our test, samples from potential SOC locations were taken from car tyre tracks. A car was driven to one location by an independent person and the car submitted for sampling. The tyre-tread sample showed potential correlation to two locations: one correct and the other incorrect. QXRD showed the mineral proportions of the tyre-tread sample matched only the correct location. However, QXRD did fail to discriminate two locations that XRD did show to be different. Both methods utilise the same sample and X-ray diffractogram, suggesting that their conjunctive use, preceded by standard Earth material forensic study, is recommended.     

A Survival Analysis of U.S. Municipalities in Fiscal Distress

This article uses survival analysis to investigate fiscal distress in U.S. municipalities. We hypothesize that fiscal distress is positively correlated with revenue concentration and debt usage, and negatively correlated with administrative costs and entity resources. We develop a model that can predict the likelihood of fiscal distress and correctly classify up to 86 percent of the sampled governments. The model enables users to analyze the impact of a change in the risk factors. Fiscal distress can be reduced most effectively by increasing tax revenues as a percent of total revenues or decreasing total debt as a percent of total revenues.     

Investigating the Association Between Posttraumatic Risky Behavior and Offending in Adolescents Involved in the Juvenile Justice System

Journal of Youth and Adolescence - Risky behavior is common among traumatized youth and is associated with juvenile offending. This study examined predictors of posttraumatic risky behavior, the...