Todd Little, PhD
Dr. Little's 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.
- Professor, Texas Tech University
- Director, Institute for Measurement, Methodology, Analysis and Policy
- PhD, 1988, University of California at Riverside, Developmental Psychology
- Little, T. D. (2013). Longitudinal structural equation modeling. New York: Guilford Press.
- Little, T. D., Rhemtulla, M., Gibson, K., & Schoemann, A. M. (2013). Why the items versus parcels controversy needn't be one. Psychological Methods, 18(3), 285-300.
- Little, T. D., Preacher, K. J., Selig, J. P., & Card, N. A. (2007). New developments in SEM panel analyses of longitudinal data. International Journal of Behavioral Development, 31(4), 357-365.
- 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.