{"title":"State-level differences in public vocational rehabilitation closures among transition-aged youth with traumatic brain injury","authors":"C. E. Degeneffe, M. Tucker, Z. J. Ahonle","doi":"10.1017/jrc.2020.18","DOIUrl":null,"url":null,"abstract":"Abstract This study aimed to understand state-level variation in participation in the State/Federal Vocational Rehabilitation (State VR) System in the United States among transition-aged youth (persons under the age of 22 years at application for State VR services) with traumatic brain injury (TBI) in Federal Fiscal Year 2016. A weighted least squares regression analysis was conducted to determine the relationship of state-level population size, unemployment rate, and per-capita income to the number of State VR closures in each state for transition-aged youth with TBI. Population size and per-capita income significantly predicted closures, while there was no relationship between closures and unemployment rate. Research is needed that further explores and explains state-level disparities in participation among transition-aged youth with TBI.","PeriodicalId":303913,"journal":{"name":"The Australian Journal of Rehabilitation Counselling","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Australian Journal of Rehabilitation Counselling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/jrc.2020.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract This study aimed to understand state-level variation in participation in the State/Federal Vocational Rehabilitation (State VR) System in the United States among transition-aged youth (persons under the age of 22 years at application for State VR services) with traumatic brain injury (TBI) in Federal Fiscal Year 2016. A weighted least squares regression analysis was conducted to determine the relationship of state-level population size, unemployment rate, and per-capita income to the number of State VR closures in each state for transition-aged youth with TBI. Population size and per-capita income significantly predicted closures, while there was no relationship between closures and unemployment rate. Research is needed that further explores and explains state-level disparities in participation among transition-aged youth with TBI.