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).
Recommended Citation
King-Jimenez, Andrea, "An Evaluation Of The Predictors Of Placement In Permanent Supportive Housing In The Detroit Metropolitan Communities" (2016). Wayne State University Dissertations. 1716.
https://digitalcommons.wayne.edu/oa_dissertations/1716