Factors Contributing to Successful Employment Outcomes for Hispanic Women Who Are Deaf: Utilization of Chi-Squared Automatic Interaction Detector and Logistic Regression Analysis

Autor/in	Feist, Amber M.
Titel	Factors Contributing to Successful Employment Outcomes for Hispanic Women Who Are Deaf: Utilization of Chi-Squared Automatic Interaction Detector and Logistic Regression Analysis
Quelle	(2013), (157 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, The University of Texas - Pan American
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-3032-8784-8
Schlagwörter	Hochschulschrift; Dissertation; Hispanic Americans; Females; Deafness; Student Needs; Delivery Systems; Vocational Rehabilitation; Regression (Statistics); Reports; Success; Predictor Variables; Supported Employment; Clinical Diagnosis; Job Placement; Technology; Evaluation; Interaction + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Hispanic; Hispanoamerikaner; Weibliches Geschlecht; Gehörlosigkeit; Taubstummheit; Auslieferung; Berufliche Rehabilitation; Regression; Regressionsanalyse; Abschlussbericht; Berichten; Erfolg; Prädiktor; Arbeitsförderungsmaßnahme; Employment service; Employment services; Arbeitsvermittlung; Technologie; Evaluierung; Interaktion
Abstract	Hispanic women who are deaf constitute a heterogeneous group of individuals with varying vocational needs. To understand the unique needs of this population, it is important to analyze how consumer characteristics, presence of public supports, and type of services provided influence employment outcomes for Hispanic women who are deaf. The purpose of this study was to examine predictive factors of consumer characteristics, public supports, and patterns of service delivery related to employment among Hispanic women who are deaf utilizing the Rehabilitation Services Administration (RSA) case service report (RSA-911) for fiscal year 2009 (FY 2009). Exhaustive chi-squared automatic interaction detector (CHAID) analysis and binary logistic regression analysis were used to analyze the RSA-911 dataset. CHAID analysis allowed the extrapolation of four homogeneous subgroups (i.e., end groups) with similar characteristics influential in predicting successful versus unsuccessful employment outcomes. Results from the CHAID analysis revealed public support is the most salient factor in predicting employment outcomes for Hispanic women who are deaf. Resulting end groups from the CHAID analysis were used to inform the logistic regression analysis. The logistic regression analysis highlighted on-the-job supports, diagnosis and treatment of impairment, job placement services, rehabilitation technology, and assessment services rehabilitation services as the most influential services enhancing the probability of achieving a successful outcome. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01