The prediction of the success of first-year MBA candidates: One business school as a case study

E.M. Scholtz, J. Pienaar

Abstract


Abstract

The focus of this study was to determine the best predictors of academic success of first-year MBA students. Selection criteria and variables are tested for the reliable prediction of successful completion of the first year of an MBA programme (MBAI). A longitudinal quantitative research design is followed using data of students from a South African business school, enrolled between the years 2006 and 2013. The study population consisted of a total of N=777 students enrolled on the MBA programme for this period. Numerical- and verbal cognitive ability assessments gathered as part of enrolment assessment were used and compared to MBAI examination results. Logistic regression analysis was used to determine the significance of different variables to predict MBA first-year success, defined here as the successful completion of all first-year MBA modules within the first academic year. Results indicate that cognitive ability is related to MBA first-year success. The numerical was a better predictor than the verbal cognitive assessment. Type of undergraduate education was found to play a role in MBA first-year success. Language of delivery proved to have an influence on academic performance and Younger students performed better than their older counterparts did. Determining the best predictors MBA first-year success has practical implications on selection processes and throughput.


Keywords


MBA, academic success, prediction, academic performance, pass-rate, cognitive ability, assessment, verbal ability, numerical, drop-out, selection practices

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References


Adendorff, S. and North, C. 2004. Towards an MBA selection model: A South African case study. Management Today, 20(8): 40-41.

Ahmadi, M., Raiszadeh, F. and Helms M. 1997. An examination of the admission criteria for the MBA programs: A case study. Education, 00131172, 117(4)

Alias, M. and Zain, A.F.D. 2006 Relationship between entry qualifications and performance in graduate education. International Education Journal, 7(3): 371-378. Shannon Research Press.

Aroujo, A.A. 2011. Adjustment Issues of International Students Enrolled in American Colleges and Universities: A Review of the Literature. Higher Education Studies 1(1): 2-8.

Bennet, R. 2005. Determinants of undergraduate student dropout rate in University Business Studies Department. Journal of Further and Higher Education, 27(2), 124-141.

Berman, R. and Cengt, L. 2001. ‘English academic language skills: Perceived difficulties by undergraduate and graduate students, and their academic achievement’. Canadian Journal of Applied Linguistics 4(1-2): 25-40.

Bisschoff, C. A. 2005. A preliminary model to identify low-risk MBA applicants. SA Journal of Economic and Management Sciences, 8(3), 300-310.

Braunstein, A.W. 2006. MBA academic performance and type of undergraduate degree possessed. College Student Journal. 40(3), 685-586.

Butler, D., Johnson, L. and Forbes, B. 2008. An examination of a skills-based leadership coaching course in an MBA program. Journal of Education for Business, March/April, 227-232.

Census. 2011. http://www.statssa.gov.za/ (accessed 14 August 2017).

Chemers, M. M., Hu, L. and Garcia, B. F. 2001. Academic self-efficacy and first year College performance and adjustment. Journal of Educational Psychology, 93(1): 55-64.

Clayton, G.E. and Cate, T. 2004. Predicting MBA no-shows and graduation success with discriminate analysis. International advances in economic research, 10, 235-243.

Department of Higher Education and Training. 2013. Report of the Ministerial Committee for the review of funding of universities. Pretoria: Department of Higher Education and Training. Available from http://www.dhet.gov.za/SiteAssets/Latest%20News/Report%20of%20the%20Ministerial%20Committee%20for%20the%20Review%20of%20the%20Funding%20of%20Universities.pdf

DeSchields Jr. O. W., Kara, A. and Kaynak, E. 2005. Determinants of business student satisfaction and retention in higher education: Applying Herzberg's two-factor theory. International Journal of Educational Management, 19(2): 128-139.

Dooey, P. and Oliver, R. 2002. An investigation into the predictive validity of the IELTS test. Prospect, 17: 36 -54.

Dobson, P., Krapljan-Barr, P. and Vielba, C. 1999. An evaluation of the validity and fairness of the Graduate Management Admission Test (GMAT) used for MBA selection in a UK business school. International Journal of Selection and Assessment, 7(3): 196-202.

Dreher, G. F. and Ryan, C. 2000. Prior work experience and academic achievement among first-year MBA students. Research in Higher Education, 41(4): 505-525.

Dreher, G. F. and Ryan, C. 2002. Evaluating MBA program admission criteria: The relationship between pre-work MBA work experience and post-MBA outcomes. Research in Higher Education, 43(6): 727-744.

Dreher, G. F. and Ryan, C. 2004. A suspect MBA selection model: The case against the standard work experience requirement. Academy of Management Learning & Education, 3(1): 87-91.

Finlayson, R. and Madiba. M. 2002. The Intellectualisation of the Indigenous Languages of South Africa: Challenges and Prospects, Current Issues in Language Planning, 3:1, 40-61, DOI: 10.1080/14664200208668036

Furnham, A., Chamorro-Premuzic, T. and McDougall, F. 2003. Personality, cognitive ability, and beliefs about intelligence as predictors of academic performance. Learning and Individual Differences, 14: 49-66.

Hancock, T. 1999. The gender difference: Validity of standardized admission tests in predicting MBA performance. Journal of Education for Business, 75(2): 91-93.

Hill, K. L., Hynes, G. E., Joyce, M. P. and Green, J.S. 2011. GMAT AWA score as a predictor of success in managerial communication course. Business Communications Quarterly, 74: 103-118.

Harvard Business School. 2017. Admissions: Application process.

http://www.hbs.edu/mba/admissions/application-process/Pages/default.aspx (accessed 18 August 2017).

Hoefer, P. and Gould, J. 2000. Assessment of admission criteria for predicting students’ academic performance in graduate business programs. Journal of Education for Business, March/April, 225-229.

Kettunen, J. 2003. The length of study of MBA students. International Journal of Lifelong Education. March-April 2003, 22(2): 159-171.

Kotze, M. and Griesel, L. 2008. Predicting the academic performance of MBA students by means of specific aptitudes and competencies. Journal for New Generation Sciences, 6(2): 60-79.

McKenzie, K. and Schweitzer, R. D. 2001. Who succeeds at university? Factors predicting academic performance in first year Australian university students. Journal for Higher Education Research & Development, 20(1): 21-23.

Mihail, D.M. and Elefterie, KA. 2006. Perceived effects of an MBA degree on employability and career advancement: The case of Greece, Career Development International, 11(4): 352-361

Ministry of Education. 2001. Draft National Plan for Higher Education in South Africa, (February. Pretoria: Government Printer.

Ministry of Higher Education and Training 2012. Annual Report, (1 April 2012 to 31 March 2013), Pretoria: Government Printer.

Maury A. Peiperl, M.A. and Trevelyan, R. 1997. Predictors of performance at business school and beyond: Demographic factors and the contrast between individual and group outcomes. Journal of Management Development, 16(5): 354-367.

NMMU Business School. 2017. MBA psychometric testing & interviews.

http://mba.nmmu.ac.za/content/mba-psychometric-testing-interviews (accessed 18 August 2017).

NWU School for Business and Governance. 2017. Selection tests

http://commerce.nwu.ac.za/business-and-governance/useful-information (accessed 18 August 2017).

Navarro, P. (2008). The MBA core curricula of top-ranked US business schools: A study in failure? Academy of management learning & education, 7(1): 108-123.

Poyrazli, S., Arbona, C., Bullington, R. and Pisecco, S. 2001. Adjustment issues of Turkish college students studying in the United States. College Student Journal 35(1): 52-62.

Schwartz, L., Strowe, K. and Sendall, P. 2008. Understanding the factors that contribute to graduate student success: A study of Wingate University’s MBA program. Conference proceedings Academy of Business Education. (1-11).

SHL-Saville-and-Holdsworth 2006.

http://companydata.inoxico.com/research-reports/South-Africa/SHL-Saville-and-Holdsworth-(Pty)-Ltd/

Srikant M., Datar, D.A., Garvin, P. and Cullen, G. 2011. Rethinking the MBA: business education at a crossroads, Journal of Management Development, 30(5): 451-462.

Sulaiman, A. and Mohezar, S. 2006. Student Success Factors: Identifying Key Predictors. Journal of Education for Business. 81(6), 328-333, DOI: 10.3200/JOEB.81.6.328-333

Stanford Graduate School of Business. 2017. Admission process.

https://www.gsb.stanford.edu/programs/mba/financial-aid/international-students/stanford-africa-mba-fellowship/application (accessed 18 August 2017).

Truitt, T. C. 2002. Validity of selection criteria in predicting MBA success. CBFA Conference 2002.

Terry, N., Owens, J. K. and Cooley, J. W. 2009. The impact of instruction mode on student performance in graduate financial management. The Journal of Human Resource and Adult Learning, 5(1): 148-154.

University of Stellenbosch Business School 2017. Selection tests. http://www.usb.ac.za/MBA/Pages/SHL-or-GMAT.aspx (accessed 18 August 2017).

Whittingham, K. L. 2006. Impact of personality on academic performance of MBA students: Qualitative versus quantitative courses. Decision Sciences Journal of Innovative Education, 4(2): 175-190.

Woodrow, L. 2002. Academic Success of International Postgraduate Education Students and the Role of English Proficiency. University of Sydney Papers in TESOL. (1): 51-70.

Van Bragt, A. C, Bakx, W. E. A., Bergen, C. M. and Croon M. A. 2011. Higher Education 61: 59–75. DOI 10.1007/s10734-010-9325-7

Yang, B. and Lu, D. R. 2001 Predicting academic performance in management education: An empirical investigation of MBA success. Journal of Education for Business, 77: 15-20.

York, T.T., Gibson, C. and Rankin, S. 2015. Defining and Measuring Academic Success. Practical Assessment, Research & Evaluation. 20(5), March 2015 (e-journal)




DOI: https://doi.org/10.20853/32-5-2590

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