title: Predictors of successful transition from school to employment for youth with disabilities.
abstract: OBJECTIVE
  This study examined data from the second National Longitudinal Transition Study to determine variables associated with post-high school competitive employment, and to develop a logistic regression model for predicting successful employment outcomes.
  
  
  METHODS
  A longitudinal survey design. Setting United States.
  
  
  METHODS
  A nationally representative sample (N = 2,900) of special education students who exited high school in the 2002/2003 school year.
  
  
  METHODS
  Any competitive employment during the 6-year study period.
  
  
  RESULTS
  A number of predictors of competitive employment were confirmed, including high school employment experiences, parental expectations of post-high school employment, arrest record, and school type. The strongest predictors were high school employment experiences and parental expectations of a post-high school employment.
  
  
  CONCLUSIONS
  The current study supports finding of several prior studies and fail to support others, such as the importance of self-determination for adult success. The findings highlight two aspects of the transition process that are critical for success: employment training and work experiences in high school, and high parental expectations for their child's future.
authors.affiliation: Virginia Commonwealth University, Richmond, VA, USA, pwehman@vcu.org.
authors.forename: Paul
authors.initials: P
authors.lastname: Wehman
authors.forename: Adam P
authors.initials: AP
authors.lastname: Sima
authors.forename: Jessica
authors.initials: J
authors.lastname: Ketchum
authors.forename: Michael D
authors.initials: MD
authors.lastname: West
authors.forename: Fong
authors.initials: F
authors.lastname: Chan
authors.forename: Richard
authors.initials: R
authors.lastname: Luecking
mesh_terms: D000293:Adolescent; D000328:Adult; D002648:Child; D016001:Confidence Intervals; D019988:Children with Disabilities / Q000534:rehabilitation* / Q000706:statistics & numerical data; D006233:Persons with Disabilities / Q000534:rehabilitation* / Q000706:statistics & numerical data; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D015999:Multivariate Analysis; D016017:Odds Ratio; D011237:Predictive Value of Tests; D012050:Rehabilitation, Vocational / Q000379:methods*; D018570:Risk Assessment; D012574:Schools; D013334:Students / Q000706:statistics & numerical data*; D013997:Time Factors; D014481:United States; D000066477:Work Performance; D055815:Young Adult