Access Type

Open Access Dissertation

Date of Award

January 2016

Degree Type

Dissertation

Degree Name

Ed.D.

Department

Education Evaluation and Research

First Advisor

Shlomo Sawilowsky

Abstract

This was a quantitative evaluation of the predictors in placement of permanent supportive housing using the Coordinated Assessment Model (CAM) located in the Southwest Solution Agency. The statistical methods used were chi-square, discriminant function analysis and the logistical regression. The dependent variables were housed and not housed and the independent variables were chronic, family, Service Prioritization Decision Assessment Tool, and veteran status. There were 277 cases used for this study, the statistical methods showed there was a difference between the numbers of cases housed verse not housed. The discriminant function analysis and the logistic regression indicated the independent variables family and veteran were statistically significant. The chi-square showed the SPDAT scores 47 and higher was statistically significant. The data indicated family, veterans, and Service Prioritization Decision Assessment Tool (SPDAT) are predictors of (PSH).

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