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Kass, Darrin; Grandzol, Christian; Bommer, William – Journal of Education for Business, 2012
Consistent with previous research, the authors found that the combined use of undergraduate grade point average and the Graduate Management Admission Test (GMAT) verbal and quantitative sections successfully predicted performance in a master of business administration (MBA) program. However, these measures did not successfully predict the…
Descriptors: College Entrance Examinations, Grade Point Average, Program Effectiveness, Business Administration Education
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Fish, Lynn A.; Wilson, F. Scott – College Student Journal, 2009
While predictor variables for success in MBA programs vary between schools, are they different within the same business school? At an AACSB-accredited school, although the curriculum and professors are essentially the same between the One-Year MBA and Part-Time MBA programs, the significant factors to predict success in each program are not.…
Descriptors: Grade Point Average, Predictor Variables, Program Effectiveness, Business Administration Education
Salik, Steven H. – ProQuest LLC, 2010
Driven by a variety of factors, online learning has continued to grow at an unprecedented rate. A Sloan Foundation report issued in January of 2010 indicated that in 2009, 4.6 million students took at least one online class, an increase in 17% over 2008. Graduate business education, and more specifically, Master of Business Administration (MBA)…
Descriptors: Electronic Learning, Core Curriculum, Academic Achievement, Online Courses
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Truell, Allen D.; Zhao, Jensen J.; Alexander, Melody W.; Hill, Inga B. – Delta Pi Epsilon Journal, 2006
The twofold purpose of this study was (a) to determine if selected variables were significant predictors of final MBA student program performance and (b) to determine if selected variables explained a significant proportion of the variance in final MBA student program performance at an AACSB-accredited university. Variables examined include age at…
Descriptors: Grade Point Average, Masters Programs, Program Effectiveness, Prediction