Predicting graduate student performance – A case study

References

• Agbonlaho, R. O., and U. J. Offor. 2008. Predicting Success in a Master of Information Science Degree Programme, 169–190. Education for Information. Amsterdam, Netherlands: IOS Press.
   Google Scholar
• Baunstein, A. W. 2002. “Factors Determining Success in a Graduate Business Program.” College Student Journal 36 (3): 471–477.
   Google Scholar
• Benham, B., and D. Hawley. 2015. “The Effectiveness of Tools Used to Evaluate Successful Critical Decision Making Skills for Applicants to Healthcare Graduate Educational Programs: A Systematic Review.” BI Database of Systematic Reviews and Implementation Reports. 13 (4): 231–275. doi:10.11124/01938924-201513040-00014.
   PubMedGoogle Scholar
• Bieker, R. 1996. “Factors Affecting Academic Achievement in Graduate Management Education.” Journal of Education for Business. 72 (1, September/October): 42. [Peer Reviewed Journal].
   Google Scholar
• Bowe, S. N., E. K. Weitzel, W. N. Hannah, B. M. Fitzgerald, G. P. Kraus, C. J. Nagy, and S. A. Harrison. 2017. “Introducing A Novel Applicant Ranking Tool to Predict Future Resident Performance: A Pilot Study.” Military Medicine. 182 (1): e.1514–1520. doi:10.7205/MILMED-D-15-00436.
   Web of Science ®Google Scholar
• Buckless, F., and K. Krawczyk. 2016. “The Relation of Student Engagement and Other Admission Metrics to Master of Accounting Student Performance.” Accounting Education. 25 (6): 519–533. doi:10.1080/09639284.2016.1218778.
   Web of Science ®Google Scholar
• Burmeister, J., E. Mcspadden, J. Rakowski, A. Nalichowski, M. Yudelev, and M. Snyder. 2014. “Correlation of Admissions Statistics to Graduate Student Success in Medical Physics.” Journal of Applied Clinical Medical Physics 15 (1): 4451.
   PubMed Web of Science ®Google Scholar
• Cao, H. M., M. T. Cui, and L. M. Jia. 2014. “Study on Modeling for Comprehensive Quality of Music Graduate Students Evaluation System.” Applied Mechanics and Materials. 590 (June): 911–915. doi:10.4028/www.scientific.net/AMM.590.911.
   Google Scholar
• Colarelli, S. M., M. J. Monnot, G. F. Ronan, and A. M. Roscoe. 2012. “Administrative Assumptions in Top-down Selection: A Test in Graduate School Admission Decisions.” Applied Psychology: An International Review. 61 (3): 498–512. doi:10.1111/j.1464-0597.2011.00480.x.
   Web of Science ®Google Scholar
• Cuny, J., and W. Aspray. 2002. “Recruitment and Retention of Women Graduate Students in Computer Science and Engineering: Results of a Workshop Organized by the Computing Research Association.” SIGCSE Bulletin. 34 (2): 168–174. doi:10.1145/543812.543852.
   Google Scholar
• Darolia, R., S. Potochnick, and C. E. Menifield. 2014. “Assessing Admission Criteria for Early and Mid-career Students: Evidence from a US MPA Program.” Education Policy Analysis Archives. 22: 101.
   Google Scholar
• Davies, T. A., E. Kaye, M. Stahlberger, M. Abbas, C. Sarkis, L. Reed, and A. K. Mascarenhas. 2019. “Improving Diversity of Dental Students through the Boston University Master’s of Oral Health Sciences Postbaccalaureate Program.” Journal of Dental Education. 83 (3): 287–295. doi:10.21815/JDE.019.024.
   PubMed Web of Science ®Google Scholar
• Davies, T. A., M. B. Miller, V. A. Moore, and E. A. Kaye. 2020. “Predicting Professional School Performance with a Unique Lens: Are There Other Cognitive Predictors?” BMC Medical Education 20: 1–10.
   Web of Science ®Google Scholar
• Deis, M., and R. Kheirandish. 2010. “What Is a Better Predictor of Success in an Mba Program: Work Experience or the Gmat?” Academy of Educational Leadership Journal 14 (3): 91–98.
   Google Scholar
• Dreher, G., and K. Ryan. 2002. “Evaluating MBA-Program Admissions Criteria: The Relationship between Pre-MBA Work Experience and Post-MBA Career Outcomes.” Research in Higher Education. 43 (6): 727–744. doi:10.1023/A:1020992632622.
   Web of Science ®Google Scholar
• El-Banna, M. M., L. A. Briggs, M. S. Leslie, E. K. Athey, A. Pericak, N. L. Falk, and J. Greene. 2015. “Does Prior RN Clinical Experience Predict Academic Success in Graduate Nurse Practitioner Programs?” The Journal of Nursing Education. 54 (5): 276–280. doi:10.3928/01484834-20150417-05.
   PubMed Web of Science ®Google Scholar
• Graham, L. 1991. “Predicting Academic Success of Students in a Master of Business Administration Program.” Educational and Psychological Measurement 51 (3, Autumn): 721. [Peer Reviewed Journal]. doi:10.1177/0013164491513023.
   Web of Science ®Google Scholar
• Grillo, A. C., A. M. Ghoneima, L. P. Garetto, S. S. Bhamidipalli, and K. T. Stewart. 2019. “Predictors of Orthodontic Residency Performance: An Assessment of Scholastic and Demographic Selection Parameters.” The Angle Orthodontist. 89 (3): 488–494. doi:10.2319/062518-477.1.
   PubMed Web of Science ®Google Scholar
• Hall, J. D., A. B. O’Connell, and J. G. Cook. 2017. “Predictors of Student Productivity in Biomedical Graduate School Applications.” PLoS One; San Francisco. 12 (1): e0169121. doi:10.1371/journal.pone.0169121.
   PubMed Web of Science ®Google Scholar
• Hammond, K., M. Cook-Wallace, E. Moser, and R. Harrigan. 2012. “Traditional Mba Admissions Criteria and Graduate School Success: How are Gmat Scores, Undergraduate Gpa, and Graduate Business School Performance Correlated?” Journal of Education for Library and Information Science 176188: 67–75.
   Google Scholar
• Hoefer, P., and J. Gould. 2000. “Assessment of Admission Criteria for Predicting Students’ Academic Performance in Graduate Business Programs.” Journal of Education for Business. 75 (4): 225–229. doi:10.1080/08832320009599019.
   Google Scholar
• Hofinger, R. J., and L. J. Feldmann 2001. “The Role of the Adult Student in the Classroom.” Proceedings of the American Society for Engineering Education Anual Conference & Exposition, Albuquerque, NM.
   Google Scholar
• Kent, J. D., and M. T. McCarthy. 2016. Holistic Review in Graduate Admissions: A Report from the Council of Graduate Schools. Washington, DC: Council of Graduate Schools.
   Google Scholar
• Kotze, M., and L. Griessel. 2008. “The Prediction of the Academic Performance of MBA Students by Means of Specific Aptitudes and Competencies.” Journal for New Generation Sciences. 6 (2): 60–79.
   Google Scholar
• Lizares, R., L. Rahnema, M. Pang-Rey, I. Suan, and C. C. Bautista. 2017. “Graduate Business Program Admission Criteria and Student Graduate Academic Performance.” Philippine Management Review. 24: 83–98.
   Google Scholar
• MacFagden, L. 2008. Mature Students in the Persistence Puzzle: An Exploration of the Factors. Montreal, Quebec: Canadian Council on Learning.
   Google Scholar
• Ortega, K. H., S. M. Burns, L. C. Hussey, J. Schmidt, and P. N. Austin. 2013. “Predicting Success in Nurse Anesthesia Programs: An Evidence-based Review of Admission Criteria.” AANA Journal. 81 (3): 183–189.
   PubMedGoogle Scholar
• Pacheco, W. I., R. J. Noel, J. T. Porter, C. B. Appleyard, and H. Sevian. 2015. “Beyond the GRE: Using a Composite Score to Predict the Success of Puerto Rican Students in a Biomedical PhD Program.” CBE - Life Sciences Education. 14 (2): ar13. doi:10.1187/cbe.14-11-0216.
   PubMed Web of Science ®Google Scholar
• Park, H. Y., O. Berkowitz, K. Symes, and S. Dasgupta. 2018. “The Art and Science of Selecting Graduate Students in the Biomedical Sciences: Performance in Doctoral Study of the Foundational Sciences.” PLoS ONE. 13 (4): e0193901. doi:10.1371/journal.pone.0193901.
   PubMed Web of Science ®Google Scholar
• Patterson, F., and L. D. Zibarras. 2017. “Selecting for Creativity and Innovation Potential: Implications for Practice in Healthcare Education.” Advances in Health Sciences Education. 22 (2): 417–428. doi:10.1007/s10459-016-9731-4.
   PubMed Web of Science ®Google Scholar
• Peters, D. L., and S. R. Daly. 2013. “Returning to Graduate School: Expectations of Success, Values of the Degree, and Managing the Costs.” Journal of Engineering Education. 102 (2, April): 244–268.
   Web of Science ®Google Scholar
• Price, M. D., and S. E. Park. 2018. “Can Noncognitive Components of Admissions Data Predict Dental Student Performance and Postdoctoral Program Placement?” Journal of Dental Education. 82 (10): 1051–1058. doi:10.21815/JDE.018.112.
   PubMed Web of Science ®Google Scholar
• Prusak, Z. 1999. “Learning Environment in Engineering Technology with a High Percentage.” Proceedings of the American Society of Engineering Education, Charlotte, NC.
   Google Scholar
• Roll, M., L. Canham, P. Salamh, K. Covington, C. Simon, and C. Cook. 2018. “A Novel Tool for Evaluating Non-cognitive Traits of Doctor of Physical Therapy Learners in the United States.” Journal of Educational Evaluation for Health Professions. 15: 19. doi:10.3352/jeehp.2018.15.19.
   PubMed Web of Science ®Google Scholar
• Roman, G., and M. P. Buman. 2019. “Preadmission Predictors of Graduation Success from a Physical Therapy Education Program in the United States.” Journal of Educational Evaluation for Health Professions. 16: 5. doi:10.3352/jeehp.2019.16.5.
   PubMed Web of Science ®Google Scholar
• Schwager, I. T. L., U. R. Hülsheger, B. Bridgeman, and J. Lang. 2015. “Graduate Student Selection: Graduate Record Examination, Socioeconomic Status, and Undergraduate Grade Point Average as Predictors of Study Success in a Western European University.” International Journal of Selection and Assessment. 23 (1): 71–79. doi:10.1111/ijsa.12096.
   Web of Science ®Google Scholar
• Sealy, L., C. Saunders, J. Blume, R. Chalkley, and C. Bianchi. 2019. “The GRE over the Entire Range of Scores Lacks Predictive Ability for PhD Outcomes in the Biomedical Sciences.” PLoS ONE. 14 (3): e0201634. doi:10.1371/journal.pone.0201634.
   PubMed Web of Science ®Google Scholar
• Statistics Canada. 2018. “Data,” December 9. Retrieved from Statistics Canada: https://www150.statcan.gc.ca/n1//en/type/data?MM=1#tables
   Google Scholar
• Stiner-Jones, L. W. 2019. “Work in Progress: Aligning What We Want with What We Seek: Increasing Comprehensive Review in the Graduate Admissions Process.” ASEE Annual Conference and Exposition, Conference Proceedings, Tampa, American Society for Engineering Education.
   Google Scholar
• Suhayda, R., F. Hicks, and L. Fogg. 2008. “A Decision Algorithm for Admitting Students to Advanced Practice Programs in Nursing.” Journal of Professional Nursing. 24 (5): 281–284. doi:10.1016/j.profnurs.2007.10.002.
   PubMed Web of Science ®Google Scholar
• Sulaiman, A., and S. Mohezar. 2006. “Student Success Factors: Identifying Key Predictors.” Journal of Education for Business. 81 (6): 328–333. doi:10.3200/JOEB.81.6.328-333.
   Google Scholar
• Weiner, O. D. 2014. “How Should We Be Selecting Our Graduate Students?” Molecular Biology of the Cell 25 (4): 429–430. doi:10.1091/mbc.e13-11-0646.
   PubMed Web of Science ®Google Scholar
• Zimmermann, J., A. Von Davier, and H. R. Heinimann. 2017. “Adaptive Admissions Process for Effective and Fair Graduate Admission.” The International Journal of Educational Management. 31 (4):540–558. doi:10.1108/IJEM-06-2015-0080.
   Web of Science ®Google Scholar
• Zimmermann, J., A. A. von Davier, J. M. Buhmann, and H. R. Heinimann. 2018. “Validity of GRE General Test Scores and TOEFL Scores for Graduate Admission to a Technical University in Western Europe*.” European Journal of Engineering Education. 43 (1): 144–165. doi:10.1080/03043797.2017.1343277.
   Web of Science ®Google Scholar