Race, personal history characteristics, and vocational rehabilitation outcomes : a structural equation modeling approach

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Race, personal history characteristics, and vocational rehabilitation outcomes : a structural equation modeling approach

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dc.contributor.advisor Sorrells, Audrey McCray
dc.creator Martin, Frank H.
dc.date.accessioned 2009-10-19T20:27:18Z
dc.date.available 2009-10-19T20:27:18Z
dc.date.created 2009-05
dc.date.issued 2009-10-19T20:27:18Z
dc.identifier.uri http://hdl.handle.net/2152/6569
dc.description.abstract Numerous studies have indicated racial and ethnic disparities in the vocational rehabilitation (VR) system, including differences in eligibility, services provided, and employment outcomes. Few of these studies, however, have utilized advanced multivariate techniques or latent constructs to measure quality of employment outcomes (QEO) or tested hypothesized models for the relationship between race, personal history characteristics, and VR outcomes. Furthermore, few VR disparities studies have examined southwestern states such as Texas, which has large Hispanic and Black populations. The purpose of this study was to utilize structural equation modeling (SEM) to examine several implied conceptual models for the relationship between race, personal history characteristics, and VR outcomes for White, Black, and Hispanic participants in the Texas VR system. The implied conceptual models were tested for goodness of fit and multiple-group invariance. A measurement model for QEO, a latent construct, was tested and used in the study. QEO was measured by three indicator variables and evaluated using confirmatory factor analysis. A MIMIC model was tested to assess racial/ethnic variation in QEO. The MIMIC results were compared to a multiple regression approach. In addition, a path model and logistic regressions were conducted to assess racial variation in VR closure status among consumers who were unemployed at application to VR. All models were retested with an independent sample to assess predictive validity. The study results indicated good model fit and measurement invariance for the QEO construct. The structural model for race, personal history characteristics, and QEO indicated moderate model fit. It also indicated interaction effects for race by gender and for race by public support. The MIMIC model results suggest that QEO decreased for Blacks and Hispanics compared to Whites. Furthermore, the MIMIC results, which utilized QEO as an endogenous variable, differed from the multiple regression findings, which utilized one criterion. The multiple regression findings indicated no statistically significant difference between Blacks and Whites. The path model for race and VR closure status indicated poor model fit. The logistic regression indicated no racial/ethnic differences in VR closure status. Several model estimates did not cross-validate. Study limitations and suggestions for future research are described.
dc.format.medium electronic
dc.language.iso eng
dc.rights Copyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.
dc.subject Vocational rehabilitation
dc.subject Racial disparity
dc.subject Ethnic disparity
dc.subject Employment outcomes
dc.subject Structural equation modeling
dc.title Race, personal history characteristics, and vocational rehabilitation outcomes : a structural equation modeling approach
dc.description.department Special Education
dc.type.genre Thesis
dc.type.material text
thesis.degree.department Special Education
thesis.degree.discipline Special Education
thesis.degree.grantor The University of Texas at Austin
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy

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