My primary research interests are the development, improvement, and application of quantitative methods for measuring and analyzing intraindividual change and variability using psychometric methods. Some of the quantitative methods that I focus upon include P-technique, dynamic factor models, multiple-group factor models, and latent growth curve models.
Although I focus much of my attention on quantitative methodology, I am also quite interested in applying quantitative methods to substantive areas of psychology. I am especially interested in improving and developing dynamic theories of psychological phenomena such as cognitive ability, mood, affect, interpersonal behavior, and personality.
Rausch, J. R. (in preparation). Investigating change in intraindividual factor structure over time.
Rausch, J. R. & Maxwell, S. E. (in preparation). Designing longitudinal studies of negative exponential growth according to the reliabilities of growth parameter estimators.
Rausch, J. R. & Maxwell, S. E. (in preparation). Choosing powerful analytic methods for group comparisons in randomized longitudinal designs.
Kelley, K. & Rausch, J. R. (accepted, pending revisions). Sample size planning for the standardized mean difference: Accuracy in parameter estimation via narrow confidence intervals. Psychological Methods.
Boker, S., Neale, M., & Rausch, J. (2004). Latent differential equation modeling with multivariate multi-occasion indicators. In K. van Montfort, H. Oud, & A. Satorra (Eds.) Recent Developments in Structural Equation Modeling: Theory and Applications (pp. 151-174). Amsterdam: Kluwer.
Rausch, J. R., Maxwell, S. E., & Kelley, K. (2003). Analytic methods for questions pertaining to a randomized pretest, posttest, follow-up design. Journal of Clinical Child and Adolescent Psychology, 32(3), 467 486.
