Education

• Ph.D. University of Illinois at Urbana-Champaign
• M.A. University of Illinois at Urbana-Champaign
• A.B. MacMurray College, Jacksonville, Illinois

 

Honors and Awards:

2000 – 2001: President of the Society of Multivariate Experimental Psychology

Career Awards

2011:  Received Samuel J. Messick Award for Distinguished Scientific Contributions from Division 5 (Evaluation, Measurement, & Statistics) of American Psychological Association

2013:  Received Saul B. Sells Award for Distinguished Multivariate Research, from Society of Multivariate Experimental Psychology.

Publication Awards

1998:     Jeffrey S. Tanaka Award, presented by Society of Multivariate Experimental Psychology: Most Outstanding Paper Published in Multivariate Behavioral Research (1997): MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997).  Studying multivariate change using multilevel models and latent curve models.  Multivariate Behavioral Research, 32, 215-253.

2002:     Jeffrey S. Tanaka Award, presented by Society of Multivariate Experimental Psychology: Most Outstanding Paper Published in Multivariate Behavioral Research (2001):  MacCallum, R. C., Widaman, K. F., Preacher, K., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36, 611-637.

2004:     Jeffrey S. Tanaka Award, presented by Society of Multivariate Experimental Psychology: Most Outstanding Paper Published in Multivariate Behavioral Research (2003):  Briggs, N. E., & MacCallum, R. C. (2003). Recovery of weak common factors by maximum likelihood and ordinary least squares estimation.  Multivariate Behavioral Research, 38, 25-56.

2011:  Jeffrey S. Tanaka Award, presented by Society of Multivariate Experimental Psychology: Most Outstanding Paper Published in Multivariate Behavioral Research (2010): Sterba, S. K., & MacCallum, R. C. (2010). Variability in parameter estimates and model fit across repeated allocations of items to parcels.  Multivariate Behavioral Research, 45, 322-358.

Teaching Awards

1991:  Received first annual Psychology Department Award for Distinguished Teaching, Ohio State University

2010:  Received Distinguished Teaching Award for Post-Baccalaureate Instruction, University of North Carolina at Chapel Hill  (campus-wide award)

 

Research Areas

Robert MacCallum’s research interests focus on methods for analysis and modeling of correlational and longitudinal data, including factor analysis, structural equation modeling, and latent curve models.  His current interests involve the study of uncertainty inherent in results of statistical models. 

 

Selected Publications

 

            MacCallum, R. C., Browne, M. W., & Cai, L. (2006). Testing differences between nested covariance structure models: Power analysis and null hypotheses. Psychological Methods, 2006, 11, 19-35.

            Kiecolt-Glaser, J. K., Preacher, K. J., MacCallum, R. C., Atkinson, C., Malarkey, W. B., & Glaser, R. (2003). Chronic stress and age-related increases in the proinflammatory cytokine IL-6. Proceedings of the National Academy of Sciences, 100, 9090-9095.

MacCallum, R. C. (2003).  Working with imperfect models.  Multivariate Behavioral Research, 38, 113-139.

Browne, M. W., MacCallum, R. C., Kim, C., Andersen, B. L., & Glaser, R. (2002). When fit indices and residuals are incompatible.  Psychological Methods, 7, 403-421.

MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002).  On the practice of dichotomization of quantitative variables.  Psychological Methods, 7, 19-40.

MacCallum, R. C., Widaman, K. F., Preacher, K., & Hong, S. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36, 611-637.

            MacCallum, R. C., & Austin, J. T. (2000).  Applications of structural equation modeling in psychological research.  Annual Review of Psychology. 51, 201-226.

            Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999).  Evaluating the use of exploratory factor analysis in psychological research.  Psychological Methods, 4, 272-299.

MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999).  Sample size in factor analysis.  Psychological Methods, 4, 84-99.

MacCallum, R. C., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997).  Studying multivariate change using multilevel models and latent curve models.  Multivariate Behavioral Research, 32, 215-253.

MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996).  Power analysis and determination of sample size for covariance structure modeling.  Psychological Methods, 1, 130-149.

            MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993).  The problem of equivalent models in applications of covariance structure analysis.  Psychological Bulletin, 114, 185-199.

            MacCallum, R. C., & Browne, M. W. (1993).  The use of causal indicators in covariance structure models:  Some practical issues.  Psychological Bulletin, 114, 533-541.

MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992).  Model modification in covariance structure analysis:  The problem of capitalization on chance.  Psychological Bulletin, 111, 490-504.

            MacCallum, R. C., & Tucker, L. R.  (1991).  Representing sources of error in the common factor model:  Implications for theory and practice.  Psychological Bulletin, 109, 502-511.

MacCallum, R. C.  (1986).  Specification searches in covariance structure modeling.  Psychological Bulletin, 100, 107-120.