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ERIC Number: ED533249
Record Type: Non-Journal
Publication Date: 2011
Pages: 167
Abstractor: As Provided
Reference Count: 0
ISBN: ISBN-978-1-1249-3199-9
ISSN: N/A
A Predictive Model for MSSW Student Success
Napier, Angela Michele
ProQuest LLC, Ph.D. Dissertation, University of Louisville
This study tested a hypothetical model for predicting both graduate GPA and graduation of University of Louisville Kent School of Social Work Master of Science in Social Work (MSSW) students entering the program during the 2001-2005 school years. The preexisting characteristics of demographics, academic preparedness and culture shock along with the subjective experiences of academic stability and academic performance were studied. A hierarchical multiple regression analysis was used to determine the best predictors of final GPA. The best predictors were age, undergraduate GPA, differences between undergraduate and graduate institution size, continuity index, and the course completion ratio. A hierarchical logistic regression analysis was used to determine the best predictors of graduation with an MSSW degree. The best predictors were age, prerequisite classes, rural/metropolitan nature of hometown, continuity index, course completion ratio and full-time student status in the first semester. Potential interventions and policy changes are detailed at both entry into and during the MSSW program. There is a need for future research in subsequent years at the Kent School of Social Work and other schools of social work that offer Master's degrees. [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.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A