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Todd Little

Todd Little, Ph.D.

Dr. Little is Director of the Research Design and Analysis Unit at the University of Kansas. His research focuses on studying developmental change in how action-control processes influence school adjustment and achievement, peer relationships, reasons for aggression, and ability to cope with stress. Dr. Little provides graduate-level training in multivariate statistical techniques including structural equation modeling (e.g., LISREL) and growth curve modeling, and explores the use of SEM techniques as a general data analytic approach to studying individual, developmental, and sociocontextual differences. He regularly teaches summer institutes on advanced statistical techniques (http://www.continuinged.ku.edu/programs/StatsCamps).

Positions

  • Professor, University of Kansas
  • Director, Quantitative Program
  • Director, Research Design and Analysis Unit

 

Education

  • Ph.D., 1988, University of California at Riverside

 

Relevant Publications

  • Little, T. D., Preacher, K. J., Selig, J. P., & Card, N. A. (in press). New developments in SEM panel analyses of longitudinal data. International Journal of Behavioral Development.
  • Little, T. D., Bovaird, J. A., & Widaman, K. F. (2006). On the merits of orthogonalizing powered and product terms: Implications for modeling interactions among latent variables. Structural Equation Modeling, 13, 497-519.
  • Little, T. D., Slegers, D. W., & Card, N. A. (2006). A non-arbitrary method of identifying and scaling latent variables in SEM and MACS models. Structural Equation Modeling, 13, 59-72.
  • Little, T. D., Cunningham, W. A., Shahar, G., & Widaman, K. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9, 151-173.
  • Little, T. D., Lindenberger, U. & Nesselroade, J. R. (1999). On selecting indicators for multivariate measurement and modeling with latent variables: When "good" indicators are bad and "bad" indicators are good. Psychological Methods, 4, 192-211.