Michael Mackay

Michael Mackay

Assistant Professor of Educational Psychology

Curriculum Vitae


Room:TC 547

Department: Department of Educational Psychology

About Michael Mackay

Michael Mackay is an industrial-organizational psychologist who teaches graduate-level courses in statistics and research methods. His research interests lie in the statistical analysis of organizational survey data. More specifically, Dr. Mackay's research focuses on:

  • Key driver analysis of employee survey data, via approaches such as dominance analysis, to identify the most important predictors of organizational outcome variables such as employee performance, turnover, or engagement.
  • Time series analysis of survey results to determine whether annual fluctuations in employee sentiment (e.g., job satisfaction, supervisor ratings) are statistically significant
  • Prevention and identification of careless responding during the collection of organizational survey data
  • The feasibility of using the Amazon Turk (MTurk) crowdsourcing platform to gather employee survey data

Some of Dr. Mackay's previous research also focused on the validation of minimum educational requirements for rehabilitation counselors and on the economic impact of new medical technology for dental practitioners (see articles listed below).

Professional Experience

  • 2019 - present: Assistant Professor, Quantitative Methods, Ball State University
  • 2013 - 2018: Instructor, Director of Research for UMID, University of Memphis
  • 2012 - 2013: I/O Psychologist, Organizational Effectiveness Solutions, FedEx


Doctor of Philosophy (PHD) in Industrial-Organizational Psychology (2013)

The University of Memphis

Master of Science (MS) in Psychology (2009)

University of Florida

Bachelor of Arts (BA) in Psychology (2005)

University of British Columbia

Prior Employment

The University of Memphis

Research and Publications

Sample publications (see Vita for comprehensive list)

Mackay, M. M., Dunn, J. D., Suedmeyer, E. S., Schiro-Geist, C., Strohmer, D. C., & West, S. L. (2020). Rehabilitation counselor degree type as a predictor of client outcomes: A comparison of quantity versus quality in closure rates. Rehabilitation Counseling Bulletin, 63(2), 91-101.

Mackay, M. M. (2018). Does employee age moderate the association between HR practices and affective commitment? An application of SOC theory to the organizational context. Group and Organization Management, 15, 186-200.

Mackay, M. M, Suedmeyer, E. S., Schiro-Geist, C., West, S. L., & Strohmer, D. C. (2018). Closure rates and counselor education: An exploration of why counselors with MRC degrees do not have better client outcomes than other master’s-level counselors. Journal of Vocational Rehabilitation 49, 389-400.

Mackay, M. M., Allen, J. A., & Landis, R. S. (2017). Investigating the incremental validity of employee engagement in the prediction of employee effectiveness: A meta-analytic path analysis. Human Resource Management Review, 27(1), 108-120.

Mackay, M. M., Fallah, M., & Danval, T. (2017). Acquisition of a digital intraoral scanning device: An examination of practice volume changes via an interrupted time series analysis. Journal of Clinical Dentistry, 28(Suppl), 1-5.

Mackay, M. M. (2016). The link between employee attitudes and employee effectiveness: Data matrix of meta-analytic estimates based on 1161 unique correlations. Data Brief, 6(8), 1391-1344.

Course Schedule
Course No. Section Times Days Location
Intro Statistical Me 641 800 0000 - 0000 OL, room ONLINE
Analysis of Variance 642 801 0000 - 0000 OL, room ONLINE
Analysis of Variance 642 802 0000 - 0000 OL, room ONLINE