Abstract
BACKGROUND: It is essential to ensure that youth with specific learning disabilities (SLD) receive an appropriate type and amount of vocational rehabilitation (VR) services to facilitate their entrance to employment and career development. METHODS: In this study, the chi-squared automatic interaction detector (CHAID) analysis and multivariate logistic regression analysis were used to investigate the relationship among demographic variables, VR services, and employment outcomes for transition-age youth with SLD. RESULTS: Results indicated that age, gender, race, educational level, and cash benefits from the Social Security Administration were significant predictors of employment outcomes for transition-age youth with SLD. After controlling for the effects of demographic variables, job and training related services had significant relationships with employment outcomes. Most notably, job placement, occupational/vocational training, and on-the-job support services had the strongest relationships with competitive employment outcomes. CONCLUSION: These findings support the effectiveness of job-related services and supported employment for transition-age youth with SLD. Implications for future research and practice in the wake of the COVID-19 pandemic are discussed.
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