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Article Type

Professional Proficiency

Article Abstract

Related Issue:

Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating the accuracy of projections.

Author(s)

perez-vegara-k--mdKelly Perez-Vergara is the Assistant Vice President of Institutional Research at Walsh College, an institution serving upper-division undergraduate and graduate students focusing on business and adjacent fields. Prior to Walsh, Kelly served as the Associate Executive Director of Institutional Effectiveness at Oakland Community College. Perez-Vergara is a current Ph.D. student in Higher Education Leadership at Oakland University, and she is an alumna of the M.S. in Survey Methodology program at the University of Michigan. Perez-Vergara serves in the higher education community as an editor for the Community College Journal of Research and Practice, and she recently completed training as a Higher Learning Commission peer reviewer for accreditation.

References

Allen, D. M. 2013. Multi-purpose enrollment projections: A comparative analysis of four approaches. Unpublished dissertation. Orono: The University of Maine.

Aron, A., E. J. Coups, and E. N. Aron. 2013. Statistics for Psychology. Boston: Pearson.

Langston, R., R. Wyant, and J. Scheid. 2016. Strategic enrollment management for chief enrollment officers: Practical use of statistical and mathematical data in forecasting first year and transfer college enrollment. Strategic Enrollment Management Quarterly. 4(2): 74–89.

Nakhkob, B., and M. Khademi. 2016. Predicted increase enrollment in higher education using neural networks and data mining techniques. Journal of Advances in Computer Research. 7(4): 125–140.

Maldonado, S., G. Armelini, and C. A. Guevara. 2017. Assessing university enrollment and admission efforts via hierarchical classification and feature selection. Intelligent Data Analysis. 21(4): 945–962.

Perez-Vergara, K. 2019. Higher education enrollment theories: Setting context for enrollment projections. Strategic Enrollment Management Quarterly.

Saini, P., and A. K. Jain. 2013. Prediction using classification technique for the students’ enrollment process in higher educational institutions. International Journal of Computer Applications. 84(14): 37–41.

Tang, H. W. V., and M. S. Yin. 2012. Forecasting performance of grey prediction for education expenditure and school enrollment. Economics of Education Review. 31(4): 452–462.

Wang, H., H. Wang, J. Guo, and J. Feng. 2014. A fuzzy time series forecasting model based on yearly difference of the student enrollment number. In 2nd International Conference on Soft Computing in Information Communication Technology, edited by T. Chang and A. Hunter. Paris: Atlantis Press.

Wiorkowski, J., N. A. Valcik, and C. A. Perry. 2017. Comparison of two different enrollment projection models. In Institutional Research Initiatives in Higher Education, edited by N. A. Valcik and J. A. Johnson. New York: Routledge.

Zan, X. A., S. W. Yoon, M. Khasawneh, and K. Srihari. 2013. A comparison study of return ratio-based academic enrollment forecasting models. The AIR Professional File. Spring(Article 129): 1–12.

Zhang, K., Z. Li, H. F. Wang, and H. X. Wang. 2015. Fuzzy time series prediction model and application based on fuzzy inverse. International Journal of Signal Processing, Image Processing and Pattern Recognition. 8(10): 12–28.

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