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Direct linkAlverson, Charlotte Y.; Yamamoto, Scott H. – Journal of Autism and Developmental Disorders, 2018
This study utilized hierarchical linear modeling analysis of a 10-year extant dataset from Rehabilitation Services Administration to investigate significant predictors of employment outcomes for vocational rehabilitation (VR) clients with autism. Predictor variables were gender, ethnicity, attained education level, IEP status in high school,…
Descriptors: Autism, Pervasive Developmental Disorders, Vocational Rehabilitation, Hierarchical Linear Modeling
Elbaum, Batya; Myers, Nicholas D.; Rodriguez, Raymond J.; Sharpe, Sheree T. – Journal of Special Education Leadership, 2014
Following the reauthorization of the Individuals with Disabilities Education Act (IDEA, 2004), states were required to develop a State Performance Plan (SPP; U.S. Department of Education, 2011) addressing 20 accountability indicators for students with disabilities, ages 3 to 21. First and arguably foremost among these is Indicator 1, the ''percent…
Descriptors: Graduation Rate, Disabilities, Accountability, Federal Legislation
Werblow, Jacob; Urick, Angela; Duesbery, Luke – Equity & Excellence in Education, 2013
Academic tracking has been shown to limit the quality of student instructional opportunities, decrease students' perceptions of their abilities, and negatively influence student achievement. These factors associated with academic tracking also may influence students in lower tracks to learn less and ultimately to drop out of high school. Few…
Descriptors: Dropout Characteristics, Academic Failure, Educational Practices, Educational Policy
