Name: Robert Charles MacCallum

Address: L.L. Thurstone Psychometric Laboratory, Department of Psychology, CB#3270 Davie Hall, University of North Carolina, Chapel Hill, NC 27599-3270

Telephone: (919) 962-4016, FAX: (919) 962-2537,

Academic Degrees:

• A.B. 1969 MacMurray College, Jacksonville, Illinois
  [Majors: Psychology and Mathematics]
• M.A. 1971 University of Illinois at Urbana-Champaign
  [Major: Psychology (Quantitative)]
• Ph.D. 1974 University of Illinois at Urbana-Champaign
  [Major: Psychology (Quantitative), Adviser: Ledyard Tucker;
  Minors: Mathematics and Computer Science]

Professional History:

• 1974-1979: Assistant Professor of Psychology, Ohio State University
• 1979-1987: Associate Professor of Psychology, Ohio State University
• 1986-1987: Visiting Scholar, Department of Psychology, University of Illinois
• 1987-2002: Professor of Psychology, Ohio State University
  (Beginning 1997, joint appointment with OSU School of Public Health, Division of Health Behavior and Health Promotion)
• 1993-2002: Associate Member, Institute for Behavioral Medicine Research, Ohio State University
• 2003-    : Professor of Psychology, University of North Carolina; Director, L.L. Thurstone Psychometric Laboratory

Selected Professional Publications Since 1990:

• 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., 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., 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., & Mar, C. M. (1995). Disinguishing between moderator and quadratic effects in multiple regression. Psychological Bulletin, 118(3), 405-421.
• 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., 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., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32, 193-210.
• MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4, 84-99.
• 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., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51, 201-226.
• MacCallum, R. C., Tucker, L. R, & Briggs, N. E. (2001). An alternative perspective on parameter estimation in factor analysis and related methods. In R. Cudeck, S. du Toit, & D. Sorbom (Eds.), Structural equation modeling: Present and future. (pp. 39-57). Lincolnwood, IL: SSI.
• 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., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19-40.
• 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.
• Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift's electric factor analysis machine. Understanding Statistics, 2, 13-32.
• 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.
• MacCallum, R. C. (2003). Working with imperfect models. Multivariate Behavioral Research, 38(1), 113-139.

Membership in Professional Societies:

• American Psychological Association
• Psychometric Society
• Society of Multivariate Experimental Psychology (Elected 1990)