Predicting vocational rehabilitation outcomes of young adults with specific learning disabilities: Transitioning from school to work.

Individuals with specific learning disabilities are a heterogeneous group with varied academic challenges and cognitive processing challenges. The manifestations of specific learning disabilities interfere with the acquisition of academic skills and impede vocational success. This study analyzed the...

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Publicado en:Journal of Vocational Rehabilitation Vol. 34; no. 3; pp. 163 - 173
Autores principales: Gonzalez, Rene, Rosenthal, David A., Kim, Jeong Han
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2011
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.3233/JVR-2011-0544
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        atl: Predicting vocational rehabilitation outcomes of young adults with specific learning disabilities: Transitioning from school to work.
      aug:
        au:
          Gonzalez, Rene
          Rosenthal, David A.
          Kim, Jeong Han
        affil: Department of Rehabilitative Services, University of Texas Pan American, Edinburg, TX, USA
      sug:
        subj:
          Rehabilitation, Vocational
          Learning Disorders
          Employment Status
          Human
          Demography
          Data Mining
          Retrospective Design
          Female
          Male
          Adolescence
          Young Adult
          Data Analysis
          Descriptive Statistics
          Decision Trees
          Chi Square Test
          P-Value
          Success
          Race Factors
          Sex Factors
          Adolescent: 13-18 years
          Female
          Male
      ab: Individuals with specific learning disabilities are a heterogeneous group with varied academic challenges and cognitive processing challenges. The manifestations of specific learning disabilities interfere with the acquisition of academic skills and impede vocational success. This study analyzed the Rehabilitation Services Administration (RSA) case service report (RSA-911) data for fiscal year (FY) 2007 to examine effects of demographic characteristics and employment outcomes of persons with specific learning disabilities. The RSA-911 FY 2007 dataset was examined via the chi-squared automatic interaction detector (CHAID) analysis. The CHAID analysis was utilized to extract predictive information for rehabilitation outcomes for individuals with specific learning disabilities. The exhaustive CHAID analysis allowed the segmentation of the large group of people into homogeneous subgroups (i.e., end groups). Results illuminate those demographic characteristics most salient to successful rehabilitation outcomes for consumers with specific learning disabilities. The chi-squared automatic interaction detector (CHAID) analysis indicated that public support significantly enhanced competitive employment outcomes.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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