Ronald S. Landis, Ph.D.
Ronald S. Landis, Ph.D., is the Nambury S. Raju Professor of Psychology and the Department Chair. He was formerly a Professor and Associate Chair in the Department of Psychology at University of Memphis where he also was the founding Director of the University of Memphis Center for Organizational and Research Effectiveness (UMCORE). Dr. Landis has primary research interests in the areas of structural equation modeling, multiple regression, and other issues associated with measurement and the prediction of performance. His work has been published in top-tier journals including Organizational Research Methods, Organizational Behavior and Human Decision Processes, Personnel Psychology, and Journal of Applied Psychology. He currently serves as Associate Editor for the Journal of Business and Psychology and is on the editorial boards of Personnel Psychology, Organizational Research Methods, Journal of Management, Human Performance andJournal of Applied Psychology. He is the Principal Investigator (PI) for a 3-year NSF-funded study ($1.3 M) examining the roles of emotion, cognition, and meta-cognition in learning science. Dr. Landis has also served as a consultant for a number of public and private sector organizations.
Bradley-Geist, J. & Landis, R.S. (in press). Homogeneity of personality in occupations and organizations: A comparison of alternative statistical tests. Journal of Business and Psychology.
Azevedo, R., Harley, J., Trevors, G., Duffy, M., Feyzi-Behnagh, R., Bouchet, F., & Landis, R.S. (2013). Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agent systems. In R. Azevedo & V. Aleven (Eds.), International Handbook of Metacognition and Learning Technologies: Vol. 99. Springer International Handbooks of Education. New York: Springer.
Cortina, J.M. & Landis, R.S. (Eds.) (2013). Modern research methods for the study of behavior in organizations. New York: Routledge.
Cortina, J.M. & Landis, R.S. (2013). Introduction: Transforming our field by transforming its methods.
Kosyluk, K.A., Corrigan, P.W., & Landis, R.S. (2014). Employer stigma as a mediator between past and future hiring behavior. Rehabilitation Counseling Bulletin, 57, 102-108.
Landis, R.S. & Rogelberg, S.G. (2013). Our scholarly practices are derailing our progress: The importance of “nothing” in the organizational sciences. Industrial and Organizational Psychology: Perspectives on Science and Practice, 6, 299-302.
Landis, R.S. (2013). Successfully combining meta-analysis and structural equation modeling: Recommendations and strategies. Journal of Business and Psychology, 28, 251-261.
Landis, R.S. Earnest, D.R., & Allen, D.G. (in press). Recruitment: The role of realistic job previews. In D. Cable & T. Yu (Eds.), Oxford Handbook of Recruitment. Oxford University Press.
Landis, R.S. (2013). Data analytic methods. Oxford Bibliographies Online: Management. doi: 10.1093/obo/9780199846740-0065.
Petschonek, S., Burlison, J., Cross, C., Martin, K., Laver, J., Landis, R.S., & Hoffman, J.M. (2013). Development of the just culture assessment tool (JCAT): Measuring the perceptions of health-care professionals in hospitals. Journal of Patient Safety, 9, 190-197.
Wallace, J.C., Paul, J.B., Landis, R.S., & Vodanovich, S.J. (2012). Occupational safety. N. Schmitt (Ed.), Oxford Handbook of Assessment and Selection. Oxford University Press.
Cortina, J.M. & Landis, R.S. (2011). The earth is NOT round (p = .00).Organizational Research Methods, 14, 332-349.
Earnest, D., Allen, D., & Landis, R.S. (in press). A meta-analytic path analysis of the mechanisms linking realistic job previews and turnover. Personnel Psychology.
Landis, R.S., Edwards, B.D., & Cortina, J.M. (2009). On the practice of allowing correlated residuals among indicators in structural equation models. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Doctrine, verity, and fable in the organizational and social sciences. New York: Routledge.
Cortina, J.M. & Landis, R.S. When small effect sizes tell a big story, and when large effect sizes don’t. (2009). In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends: Doctrine, verity, and fable in the organizational and social sciences. New York: Routledge.