Predicting VR acceptance based on race, gender, education, work status at application, and primary source of support at application.

The relationship between vocational rehabilitation (VR) acceptance and race, gender, education, work status at application, and primary source of support at application was examined using a binary logistic regression. Based on the use of a stepwise entry method, race, primary source of support at ap...

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Publicado en:Rehabilitation Counseling Bulletin Vol. 45; no. 3; pp. 132 - 147
Autores principales: Wilson KB, Alston RJ, Harley DA, Mitchell NA
Formato: CEU exam questions research tables/charts Journal Article
Publicado: Sage Publications Inc. Apr2002
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2002
      vid: 45
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: Predicting VR acceptance based on race, gender, education, work status at application, and primary source of support at application.
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          Wilson KB
          Alston RJ
          Harley DA
          Mitchell NA
        affil: Assistant Professor, Dept of Counselor Education, Counseling Psychology, and Rehabilitation Services, 308 CEDAR Bldg, Pennsylvania State University, University Park, PA 16802-3001; KBW4@PSU.EDU
      sug:
        subj:
          Rehabilitation, Vocational
          Rehabilitation, Vocational Psychosocial Factors
          Race Factors
          Sex Factors
          Educational Status
          Employment
          Income
          Chi Square Test
          Education, Continuing (Credit)
          Logistic Regression
          Odds Ratio
          United States
          Retrospective Design
          Stratified Random Sample
          Sampling Error
          African Americans
          White Persons
          Native Americans
          Asians
          Male
          Female
          Human
          Male
          Female
      ab: The relationship between vocational rehabilitation (VR) acceptance and race, gender, education, work status at application, and primary source of support at application was examined using a binary logistic regression. Based on the use of a stepwise entry method, race, primary source of support at application, and education were found to be statistically significant. Moreover, after all variables were entered into the binary logistic regression equation, the total amount of variance explained in the dependent variable by the independent variables was 5.3%. Compared to European Americans, African Americans were 2.12 times more likely to be accepted for VR services, when controlling for all other variables in the study. Compared to customers who reported only their own income at application, individuals who reported income from family and friends and other sources were negatively associated with VR acceptance, after controlling for all other variables in the study. Implications for VR counselors are discussed.
      pubtype: Academic Journal
      doctype:
        CEU
        exam questions
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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