Selected predictors of satisfaction with their program for African American counselors education master's degree students

Previous research has investigated the impact of demographic variables upon African American students in higher education (Pascarella et al., 2004; Patitu, 2000: Tinto, 1993). Few investigations have focused on African American graduate students particularly in Counselor Education. The purpose of this study was to identify predictors of the level of satisfaction of African American Master's degree students with their counselor education program. A total of 154 participants completed a demographic sheet and The Counselor Education Program Satisfaction Scale (CEPSS). Stepwise regression analysis results indicated that participants who received financial aid were less satisfied with academic quality than those who did not receive financial aid. The results also indicated an inverse relationship between GPA and Scheduling. As GPA increased the level of satisfaction with Scheduling decreased. As GPA increased the level of satisfaction with Scheduling decreased. Finally, results suggested participants in campus-based or face-to-face courses were more satisfied with clinical skills development than participants in online or blended courses. Finding from this study may be helpful to student affairs professionals, faculty, policymakers, administrators, Counselor educators, and others who are charged with the responsibilities of recruiting and retaining African American students.

Grantor dc:publisher

University of Alabama Libraries

Year dc:date.issued

2012

Author dc:creator

• Latten, Jessie

Advisor dc:contributor.advisor

• Satcher, Jamie

Contributors dc:contributor

• Wilcoxon, S. Allen
• Hooper, Lisa M.
• Leggett, Mark F.
• Benson, Angela D.

• Counseling psychology
• Education
• Adult education

Statement dc:rights

• All rights reserved by the author unless otherwise indicated.

Language dc:language.iso

en_US, English

Dc Identifier Other

u0015_0000001_0001097
Latten_alatus_0004D_11319

OAI identifier oai:identifier

oai:ir.ua.edu:123456789/1577