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Todd Little, PhDDr. 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. |
Positions
- Professor, University of Kansas
- Director, Quantitative Program
- Director, Research Design and Analysis Unit
Education
- PhD, 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.
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