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. (2010). Family-level variance in verbal ability change in the Intergenerational Studies. In K. Trzesniewski, M. B. Donnellan, & R. E. Lucas (Eds.), Secondary data analysis: An introduction for psychologists. Washington, DC: American Psychological Association.

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.

SAS scripts for data combination from

1. Grimm, K. J., Steele, J. S., Mashburn, A. J., Burchinal, M., & Pianta, R. C. (2010). Early behavioral associations with achievement trajectories. Developmental Psychology, 46, 976-983.

Mplus scripts for growth curves with different residual structures from

1. Grimm, K. J., & Widaman, K. F. (2010). Residual structures in latent growth curve modeling. Structural Equation Modeling, 17, 424-442.

Mplus Input/Output Scripts,

OpenMx Input Scripts,

Electronic Appendices from

1. Grimm, K. J., Ram, N., & Estabrook, R. (2010). Nonlinear structured growth mixture models in Mplus and OpenMx. Multivariate Behavioral Research, Multivariate Behavioral Research, 45, 887-909.

Mplus Scripts from

1. Grimm, K. J., Ram, N., & Hamagami, F. (2011). Nonlinear growth curves in developmental research. Child Development, 82, 1357-1371.

Mplus Scripts from

1. Grimm, K. J., & Ram, N. (2011). Growth curve modeling from an SEM perspective. In B. Laursen, T. Little, & N. Card (Eds.), Handbook of developmental research methods (pp. 411-431). New York: Guilford Publications.

Mplus Scripts from

1. Grimm, K. J. (2012). Intercept centering and time coding in latent difference score models. Structural Equation Modeling, 19, 137-151.

Mplus Scripts from

1. Grimm, K. J., An, Y., McArdle, J. J., Zonderman, A. B., & Resnick, S. M. (2012). Recent changes leading to subsequent changes: Extensions of multivariate latent difference score models. Structural Equation Modeling, 19, 268-292.