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ERIC Number: EJ777959
Record Type: Journal
Publication Date: 2007-Sep
Pages: 8
Abstractor: Author
Reference Count: 17
ISBN: N/A
ISSN: ISSN-0146-3934
Predicting Performance of One-Year MBA Students
Fish, Lynn A.; Wilson, F. Scott
College Student Journal, v41 n3 p507-514 Sep 2007
Although several studies have been performed, Graduate Admissions programs are still encountering difficulties uncovering criteria that will predict academic success in their programs. Researchers have analyzed Executive, full and part-time MBA programs and can only conclude that undergraduate grade point average and the GMAT are significant factors to predicting success; however, predictability with these factors is less than 19%. Similar to other studies, regression analysis is used to analyze potential factors to predict success in a highly-controlled One-Year MBA program at an AACSB-accredited American college on the United States-Canadian border. Model predictability increases over previous studies as the Canadian-factor, GMAT-Verbal and undergraduate grade point average are significant factors. These results raise questions regarding the significance of the GMAT-Verbal versus the GMAT-Quantitative and differences between American and Canadian school systems. (Contains 2 tables.)
Project Innovation, Inc. P.O. Box 8508 Spring Hill Station, Mobile, AL 36689-0508. Tel: 251-343-1878; Fax: 251-343-1878; Web site: http://www.projectinnovation.biz/csj.html
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada; United States
Identifiers - Assessments and Surveys: Graduate Management Admission Test