Effects of work experiences on the post-school employment outcomes of youth with disabilities: A study of one state vocational rehabilitation agency's transition program.

BACKGROUND: The Oklahoma Department of Rehabilitation Services provided eight years' worth of de-identified data on transition-aged clients to be examined in this study. OBJECTIVE: This study presents information on the predictive impact of work experiences, age at time of application for vocational...

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Detalles Bibliográficos
Publicado en:Journal of Vocational Rehabilitation Vol. 56; no. 2; pp. 177 - 192
Autores principales: Osmani, Kimberly J., DeBacker, Teresa K., Crowson, Howard M., Williams-Diehm, Kendra L.
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2022
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:BACKGROUND: The Oklahoma Department of Rehabilitation Services provided eight years' worth of de-identified data on transition-aged clients to be examined in this study. OBJECTIVE: This study presents information on the predictive impact of work experiences, age at time of application for vocational rehabilitation (VR) services, and priority group category of eligibility on successful VR case closure (i.e., achievement of competitive integrated employment). METHODS: Using logistic regression, the extant data were analyzed (consisting of 8,966 participants). RESULTS: Results indicated age, priority group category, gender and racial identification were each statistically significant predictors of achieving a successful VR case closure. Work experience as a predictor was not found to predict outcomes. Among work experiences, Project SEARCH was the only work experience to significantly predict successful employment outcomes. Individuals achieving higher rates of competitive integrated employment tended to be in the less severe priority category of eligibility, older, and those who identified as male and who identified as White. CONCLUSIONS: Findings inform special education and VR in considering the possible factors behind the results, examining data further, and potentially changing existing programs, policies, and practices or creating new ones to increase the employment outcomes of transition age clients.