Juvenile crime and recidivism continue to be significant, costly issues in American society. Employment contributes to successful reentry and lower recidivism. However, low self concept and problems with exploring careers and identifying options may interfere with juvenile offenders’ abilities to plan for employment and successfully carry out their plan. The purpose of this study was to examine the impact of the vocational assessment process on enhancing juvenile offender self concept by helping them learn more about themselves, career interests, and options. Participants included 61 juvenile offenders in the Virginia Department of Juvenile Justice who were predominantly male (98.4%), African-American (57.4%), and 17 years of age (52.5%); half of the participants (50.8%) had not received a prior vocational assessment. The research design was quasi-experimental, pretest-posttest with data gathered using the Multidimensional Self Concept Scale (MSCS; Bracken, 1992), Self-Directed Search Form R (SDS; Holland, Powell, & Fritzsche, 1997) and focus groups. A 2x1 within-subjects repeated measures ANOVA with pairwise comparisons for pre- and post-tests demonstrated that the process did not improve participants’ global self concept (t=.000, p>.05) but did enhance competence self concept (t[60]=-2.35, p<.05). Although there were MSCS scales significantly correlated to race, it did not significantly affect the statistical outcomes as a covariate (p > .05). Focus group responses were audio recorded, transcribed, and analyzed for themes, categories, and connections using a five-step procedure. Participants demonstrated overall favorable perceptions with a major theme that the process was helpful and with feelings of enjoyment and fun. Participants liked acquiring self knowledge and career information and exploration and liked least the amount of work and duration of the process. Suggested changes were less writing, making it computer-based, and addressing specific topics concerning offenders (e.g., jobs for offenders). Study limitations include generalizability, no comparison group, testing effects, length of the process, and environmental factors. The results contribute to developing vocational assessment process interventions for youth who have been adjudicated and committed to correctional facilities. Future research will focus on following-up to determine employment status, exploring demographic differences post-intervention, and replicating the study with similar juvenile offender populations. / Ph. D.

With educational effectiveness studies, school-level aggregates of students' characteristics (e.g. achievement) are often used to assess the impact of school composition on students' outcomes – school compositional effects. Empirical findings on the magnitude and direction of school compositional effects have not been consistent. Relevant methodological studies raise the issue of under-specification at level 1 in compositional models - evident when the student-level indicator on which the aggregation is based is mis-measured. This phenomenon has been shown to bias compositional effect estimates, leading to misleading effects of the aggregated variables – phantom compositional effects. My thesis, consisted of three separate studies, presents an advanced methodological framework that can be used to investigate the effect of school composition net of measurement error bias. In Study 1, I quantify the impact of failing to account for measurement error on school compositional effects as used in value added models of educational effectiveness to explain relative school effects. Building on previous studies, multilevel structural equation models are incorporated to control for measurement error and/or sampling error. Study 1a, a large sample of English primary students in years one and four (9,059 students from 593 schools) reveals a small, significant and negative compositional effect on students' subsequent mathematics achievement that becomes more negative after controlling for measurement error. Study 1b, a large study of Cyprus primary students in year four (1694 students in 59 schools) shows a small, positive but statistically significant effect that becomes non-significant after controlling for measurement error. Further analyses with the English data (Study 2), demonstrates a negative compositional effect of school average mathematics achievement on subsequent mathematics self-concept – a Big Fish Little Pond Effect (BFLPE). Adjustments for measurement and sampling error result in more negative BFLPEs. The originality of Study 2 lies in verifying BFLPEs for students as young as five to eight/nine years old. Bridging the findings related to students' mathematics self-concept (Study 2) and the findings on students’ mathematics achievements (Study 1a), I demonstrate that the prevalence of BFLPEs with the English data partly explains the negative compositional effect of school average mathematics achievement on students' subsequent mathematics achievement. Lastly, in Study 3 I consider an alternative approach to school accountability to conventional value added models, namely the Regression Discontinuity approach. Specifically, I use the English TIMSS 1995 primary (years four and five) and secondary (years eight and nine) data to investigate the effect of one extra year of schooling on students' mathematics achievement and the variability across schools in their absolute effects. The extent to which school composition, as given by school average achievement, correlates with schools' added-year effects is addressed. Importantly the robustness of the RD estimates to measurement error bias is demonstrated. My findings have important methodological, substantive and theoretical implications for on-going debates on the school compositional effects on students' outcomes, because nearly all previous research has been based on traditional approaches to multilevel models, which are positively biased due to the failure to control for measurement error.