Home Research Curriculum Vitae Publications Downloads Intergenerational Studies


Kevin J. Grimm

University of California, Davis


Script Downloads

Generating Structural Expectations for Growth Curves using Maple from

  1. Grimm, K. J. & McArdle, J. J. (2005). A note on the computer generation of structural expectations. In F. Dansereau & F. Yammarino (Eds.) Multi-level issues in strategy and research methods (Volume 4 of Research in multi-level issues) (pp. 335-372). Amsterdam: JAI Press/Elseiver.

Multivariate Change Models using Mplus from

  1. Grimm, K. J. (2007). Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement. International Journal of Behavioral Development, 31, 328-339.

Growth Modeling Scripts using Mplus & SAS from

  1. Ram, N., & Grimm, K. J. (2007). Using simple and complex growth models to articulate developmental change: Matching method to theory. International Journal of Behavioral Development, 31, 303-316..

Nonlinear Growth Models using Mplus & SAS from

  1. Grimm, K. J. & Ram, N. (2009). Nonlinear growth models in Mplus and SAS. Structural Equation Modeling,16, 676-701.

Longitudinal Multitrait-Multimethod Models using Mplus from

  1. Grimm, K. J., Pianta, R. C., & Konold, T. (2009). Longitudinal multitrait-multimethod models for developmental research. Multivariate Behavioral Research, 44, 233-258.

Family Growth Model (three-level nonlinear model) using Mplus from

  1. Grimm, K. J.,  McArdle, J. J., & Widaman, K. F. (in press). Family-level variance in verbal ability change in the Intergenerational Studies. In K. Trzesniewski, M. B. Donnellan, & R. E. Lucas (Eds.), Obtaining and analyzing secondary data: Methods and illustrations.

Second-Order Growth Mixture Models using Mplus from

  1. Grimm, K. J., & Ram, N. (2009). A second-order growth mixture model for developmental research. Research in Human Development, 2-3, 121-143.

Growth Mixture Models fit to Cortisol Data using Mplus from

  1. Ram, N., & Grimm, K. J. (2009). Growth mixture modeling: A method for identifying difference in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33, 565-576.

Simulation Stuff