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dc.contributor.authorReeves, A.
dc.contributor.authorRimmer, Russell
dc.date.accessioned2018-06-29T20:20:15Z
dc.date.available2018-06-29T20:20:15Z
dc.date.issued2008
dc.identifierER175
dc.identifier.citationReeves, A. & Rimmer, R. (2008) ‘Explaining performance in an executive MBA’, The International Journal of Management Education, 7(1), pp. 13–28. Available at: https://doi.org/10.3794/ijme.71.181.
dc.identifier.issn14728117
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/175
dc.identifier.urihttps://doi.org/10.3794/ijme.71.181
dc.description.abstractThe search for characteristics that predict student success is vital as MBA and executive MBA (EMBA) staff seek to attract new entrants. Using data from the University of Paisley's EMBA over 1999-2005, the model developed and tested here synthesises rational choice theory and the student integration model (SIM), in conjunction with critiques of student learning. Information gleaned from student application forms indicated intentions of: integrating academically; integrating socially via networking; career progression; and, obtaining a qualification. Students seeking academic integration performed better (judged by higher graduate GPAs) than students giving other reasons. Students giving networking as a reason for applying had slightly lower graduate GPAs. In the synthesised model, work experience should affect learning in graduate school. An alternative to the usual measure of experience used extensively in the literature was used. Breadth of experience along with sector of employment at the time of entry yielded significant effects for the experience measure in its own right and in its interaction with sector of employment. It is to be hoped the findings in the current paper will stimulate further research into the linkages between graduate GPA, positions held and competencies, roles and tasks exercised in them.
dc.format.extent13-28
dc.publisherLTSN for Business Management and Accountancy
dc.relation.ispartofThe International Journal of Management Education
dc.subjectexecutive MBA
dc.subjectacademic integration
dc.subjectsocial integration
dc.subjectwork experience
dc.titleExplaining performance in an Executive MBA
dc.typearticle
dcterms.accessRightsrestricted
dc.description.facultydiv_BaM
dc.description.referencetextAhmadi, M., Raiszadeh, F. and Helms, M. (1997) An examination of admission criteria for the MBA programs: a case study. Education, 117(4), 540-546. Adams, A. and Hancock, T. (2000) Work experience as a predictor of MBA performance. College Student Journal, 30(2), 211- 216. Armstrong, J. (1995) The devil's advocate response to an MBA student's claim that research harms learning. Journal of Marketing, 59, 101-106. Arnold, L., Chakravarty, A. and Balakrishnan, N. (1996) Applicant evaluation in an executive MBA program. Journal of Education for Business, 71(5), 277-283. Ashar, H. and Skenes, R. (1993) Can Tinto's student departure model be applied to non-traditional students? Adult Education Quarterly, 43(2), 90-100. Beekhoven, S., de Jong, U. and van Hout, H. (2002) Explaining academic progress via combining concepts of integration theory and rational choice theory. Research in Higher Education, 43(5), 577-600. Berger, K. (1998) The Developing Person Through the Lifespan. New York: Worth. Bennis, W. and O'Toole, J. (2005) How business schools lost their way. Harvard Business Review, 83, 96-104. Braunstein, A. (2002) Factors determining success in a graduate business program. College Student Journal, 36(3), 471-478. Carver, M. and King, T. (1994) An empirical investigation of the MBA admission criteria for non-traditional programs. Journal of Education for Business, 70(2), 94-98. Cohen, J. (1992) Quantitative methods in psychology: a power primer. Psychological Bulletin, 112(1), 155-159. Collis, C., Green, A. and Maillier, T. (2000) Older female workers in Britain and its regions. Local Economy, 15, 45-58. Crainer, S. and Dearlove, D. (1999) Gravy Training: Inside the Business of Business Schools. San Francisco: Jossey Boss. Danko, J. and Anderson, B. (2005) In defense of the MBA. BizEd, November/December, 24-28. Donnelly, M., Kerr, N., Rimmer, R. and Shui, E. (2006) Assessing the quality of police services using SERVQUAL. Policing: An International Journal of Police Strategies and Management, 29(1), 92-105. Donnelly, M., McCormack, D. and Rimmer, R. (2007) Load and academic attainment in two business schools. Assessment and Evaluation in Higher Education, 32(6), 1-18 Dreher, G. and Ryan, K. (2000) Prior work experience and academic achievement among first year MBA students. Research in Higher Education, 41(4), 505-525. Dreher, G. and Ryan, K. (2004) A suspect MBA selection model: The case against the standard work experience model. Academy of Management Learning and Education, 3(1), 87-91. EMBA Council (2005) Research: Executive MBA Program Survey. Available from: http://www.emba.org/protect/program_regional_report.htm [Accessed 13 July 2005]. Ghauri, P. and Ghrnhaug, K. (2002) Research Methods in Business Studies. 2nd edition. Harlow, England: FT Prentice Hall. Ghoshal, S. (2005) Bad management theories are destroying good management practices. Academy of Management Learning & Education, 4(1), 75-91. Goddard, A. (2003) Dropout rates are down while access drive has little impact. Times Higher Education Supplement, 12 December. Graham, L. (1991) Predicting academic success of students in a master of business administration program. Educational and Psychological Measurement, 51, 721-727. Green, S (1991) How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 26, 499-510. Greene, W. (2003) Econometric Analysis. Upper Saddle River: Prentice Hall. Gujarati, D. (2003) Basic Econometrics. Boston: McGraw Hill. Hancock, T. (1999) The gender difference: validity of standardised admissions tests in predicting MBA performance. Journal of Education for Business, 75(2), 91-93. Hodkinson, P. and Sparkes, A. (1997) Careership: a sociological theory of career decision making. British Journal of Sociology of Education, 18(1), 29-44. Houston, M. and Rimmer, R. (2005) A comparison of academic outcomes for business and other students. International Journal of Management Education, 4(3), 11-20. Houston, M., Knox, H. and Rimmer, R. (2007) Wider access and progression among full-time students. Higher Education, 2007, 53(1), 1-40. Hsieh, F, Bloch, D and Larsen, M (1998) A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine, 17, 1623-1634. Lovitts, B. (2000) Context and attrition. Research News on Graduate Education, 2(3). Available from: http://ehrweb.aaas.org/mge/Archives/6/context.html [Accessed 18 October 2006]. Mintzberg, H. (2004) Managers not MBAs: A Hard Look at the Soft Practise of Managing and Management Development. London: FT Prentice Hall. Mintzberg, H. and Gosling, J. (2002) Reality programming for MBAs. Strategy and Business, 26(1), 28-31. Naik, B. and Ragothaman, S. (2004) Using neural networks to predict MBA student success. College Student Journal, 38(1), 143-149. Paolillo, J. (1982) The predictive validity of selected admissions variables relative to grade point average earned in a Master of Business Administration program. Educational and Psychological Measurement, 42, 1163-1167. Pfeffer, J. and Fong, C. (2002) The end of business schools? Less success than meets the eye. Academy of Management Learning and Education, 1(1), 78-95. Pfeffer, J. and Fong, C. (2004) The business school business-: some lessons from the US experience. Journal of Management Studies, 41(8), 1501-1520. Peiperl, M. A. and Trevelyan, R. (1997) Demographic factors and the contrast between individual and group outcomes. Journal of Management Development, 16(5), 354-367. Polit, D. and Beck, C. (2003) Nursing Research: Principles and Methods. London: Lippincott, Williams and Wilkins. Soper, D.S. (2007) The free statistics calculators website. Available from: http://www.danielsoper.com/statcalc/ [Accessed 10 December 2007]. Tinto, V. (1975) Dropout from higher education: a theoretical synthesis of recent research. Review of Educational Research, 45, 89-125. Tinto, V. (1993) Leaving College: Rethinking the Cause and Cures of Student Attrition. 2nd edition. Chicago: Chicago University Press. Tinto, V. (1997) Classrooms as communities: exploring the educational character of student persistence. Journal of Higher Education, 68(6), 599-623. van Belle, G. (2002) Statistical Rules of Thumb. New York: Wiley. Warr, P. (1994) Age and job performance. In: J. Snel and R. Cramer (eds) Work and Ageing. London: Taylor and Francis, 309- 322. Yorke, M. (2002) Degree classification in English, Welsh and Northern Irish universities: Trends 1994-1995 to 1998-1999. Higher Education Quarterly, 56, 92-108. Zepke, N. and Leach, L. (2005) Integration and adaptation: approaches to the student retention and achievement puzzle. Active Learning in Higher Education, 6(1), 46-59.
dc.description.volume7
dc.identifier.doihttp://doi:10.3794/ijme.71.181
dc.description.ispublishedpub
dc.description.eprintid175
rioxxterms.typearticle
qmu.authorRimmer, Russell
dc.description.statuspub
dc.description.number1


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