4 resultados para YOUTH POLICY
em Digital Commons at Florida International University
Resumo:
Considerable funds have been allocated in the area of juvenile justice in attempts to reduce and prevent the problem of juvenile delinquency. Much of these funds have been funneled to various community-level intervention programs. This dissertation reports the results of a study that examined the effects of one such program, the Juvenile Intervention Facility (JIF) in Broward County, Florida, on reducing the number of cases handled judicially by the Juvenile Court in that county. ^ Juvenile justice policy, which precipitated the creation of the JIF program, assumed that more structured and integrative efforts at the point of entry into the juvenile justice system would lead to greater diversion from the courts to much needed intervention services. By virtue of this process, the number of juveniles handled judicially by the courts was expected to decrease and future delinquent behavior would be prevented. Archival data from four fiscal years were examined, two years pre-JIF, two years post-JIF, a third-year follow-up, and a concurrent outcome measure corresponding to the first year of JIF operations. Data included all juvenile cases referred during the fiscal years defined for Broward and St. Lucie Counties, the state of Florida, and the United States. The study tested four hypotheses: (a) the JIF would reduce the number of cases handled judicially in Broward County Juvenile Court, (b) the decrease in judicially handled cases would be greater for females than for males, (c) there would be greater decreases in judicially handled cases for whites than non-whites, (d) there would be greater decreases in judicial handling for younger than older offenders. Bivariate analyses were conducted, consisting of chi square tests, to test the hypotheses. ^ Results indicate that the impact of the JIF was in the opposite direction of what was expected in that more juvenile offenders were handled judicially through juvenile court. This fact points to the possibility that the JIF has failed to provide the intended consequences of the policy. In the discussion, these “unintended” consequences are addressed in the context of juvenile justice policy creation and the competing constituencies involved in such policy development. ^
Resumo:
Serious inequities in our K-12 public education system, particularly in regard to the quality of education in predominately Black inner-city schools, are well-documented in the literature (Freeman, 1998; Ross, 1998). Moreover, there is general agreement that the most effective means of ameliorating that situation is through well-thought-out after-school programs and partnership initiatives (Beck, 1993; Gardner et al., 2001). ^ The purpose of this qualitative study was to examine the programmatic interventions of a youth enrichment program for inner-city Black youth currently in place at the Overtown Youth Center (OYC) in Miami, Florida, in order to: (a) discern those factors that support its claim that it is making a difference in students’ lives, (b) explore how any such factors are implemented, and (c) determine whether its interventions have served to equalize the playing field for these youth. ^ Two primary methods of data collection were used for this study. The first was participant observation conducted over the course of two years through a partnership initiative established and led by this author. The second was through in-depth interviews of the Center’s founder, staff, and students. Secondary methods used were the recording of informal conversations and the analysis of written documents. ^ Analysis of the data yielded four features of the Center that are indispensible to the students’ growth. The center provides the youth with (a) physical and psychological safety, (b) supportive relationships, (c) exposure to cultural and educational opportunities, and (d) assistance in building self-esteem. ^ The most significant finding of the study was that OYC has been successful at making a difference in students’ lives and at increasing their aspirations to attend college. By addressing the full spectrum of their needs, the Center has given them many of the necessary tools with which to compete and thereby helped equalize their opportunities to succeed in school and in life. ^ The study also noted a number of challenges for the Center to examine. The main issues that need to be addressed more seriously are staff turnover, staff indifference, nepotism, inconsistent student attendance, and insufficient focus on racial issues and African-American-centered education. Meeting those challenges would engender even greater positive outcomes.^
Resumo:
Adolescents engage in a range of risk behaviors during their transition from childhood to adulthood. Identifying and understanding interpersonal and socio-environmental factors that may influence risk-taking is imperative in order to meet the Healthy People 2020 goals of reducing the incidence of unintended pregnancies, HIV, and other sexually transmitted infections among youth. The purpose of this study was to investigate gender differences in the predictors of HIV risk behaviors among South Florida youth. More specifically, this study examined how protective factors, risk factors, and health risk behaviors, derived from a guiding framework using the Theory of Problem Behavior and Theory of Gender and Power, were associated with HIV risk behavior. A secondary analysis of 2009 Youth Risk Behavior Survey data sets from Miami-Dade, Broward, and Palm Beach school districts tested hypotheses for factors associated with HIV risk behaviors. The sample consisted of 5,869 high school students (mean age 16.1 years), with 69% identifying as Black or Hispanic. Logistic regression analyses revealed gender differences in the predictors of HIV risk behavior. An increase in the health risk behaviors was related to an increase in the odds that a student would engage in HIV risk behavior. An increase in risk factors was also found to significantly predict an increase in the odds of HIV risk behavior, but only in females. Also, the probability of participation in HIV risk behavior increased with grade level. Post-hoc analyses identified recent sexual activity (past 3 months) as the strongest predictor of condom nonuse and having four or more sexual partners for both genders. The strongest predictors of having sex under the influence of drugs/alcohol were alcohol use in both genders, marijuana use in females, and physical fighting in males. Gender differences in the predictors of unprotected sex, multiple sexual partners, and having sex under the influence were also found. Additional studies are warranted to understand the gender differences in predictors of HIV risk behavior among youth in order to better inform prevention programming and policy, as well as meet the national Healthy People 2020 goals.
Resumo:
Adolescents engage in a range of risk behaviors during their transition from childhood to adulthood. Identifying and understanding interpersonal and socio-environmental factors that may influence risk-taking is imperative in order to meet the Healthy People 2020 goals of reducing the incidence of unintended pregnancies, HIV, and other sexually transmitted infections among youth. The purpose of this study was to investigate gender differences in the predictors of HIV risk behaviors among South Florida youth. More specifically, this study examined how protective factors, risk factors, and health risk behaviors, derived from a guiding framework using the Theory of Problem Behavior and Theory of Gender and Power, were associated with HIV risk behavior. A secondary analysis of 2009 Youth Risk Behavior Survey data sets from Miami-Dade, Broward, and Palm Beach school districts tested hypotheses for factors associated with HIV risk behaviors. The sample consisted of 5,869 high school students (mean age 16.1 years), with 69% identifying as Black or Hispanic. Logistic regression analyses revealed gender differences in the predictors of HIV risk behavior. An increase in the health risk behaviors was related to an increase in the odds that a student would engage in HIV risk behavior. An increase in risk factors was also found to significantly predict an increase in the odds of HIV risk behavior, but only in females. Also, the probability of participation in HIV risk behavior increased with grade level. Post-hoc analyses identified recent sexual activity (past 3 months) as the strongest predictor of condom nonuse and having four or more sexual partners for both genders. The strongest predictors of having sex under the influence of drugs/alcohol were alcohol use in both genders, marijuana use in females, and physical fighting in males. Gender differences in the predictors of unprotected sex, multiple sexual partners, and having sex under the influence were also found. Additional studies are warranted to understand the gender differences in predictors of HIV risk behavior among youth in order to better inform prevention programming and policy, as well as meet the national Healthy People 2020 goals.