The Cortisol Data is an N = 34, T = 9 time points data set we have used to illustrate a variety of growth modeling and mixture modeling methods. The data are shared with intent that others may find them useful for learning about growth modeling or developing new methods for analysis of change.

New publications based on these data require citation and acknowledgement of the full set of papers that have used the data, and …

Ram, N., & Grimm, K. (2007). Using simple and complex growth models to articulate developmental change: Matching theory to method. International Journal of Behavioral Development, 31(4), 303-316. https://doi.org/10.1177/0165025407077751

Ram, N., & Grimm, K. (2009). Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups. International Journal of Behavioral Development, 33(6), 565-576. https://doi.org/10.1177/0165025409343765

Ram, N., Grimm, K., Gatzke-Kopp, L. & Molenaar, P.C.M. (2011). Longitudinal mixture models and the identification of archetypes: Action-adventure, mystery, science fiction, fantasy, or romance? In B. Laursen, T. Little, & N. Card (Eds.) Handbook of Developmental Research Methods (pp. 481-500). New York: Guilford.

Grimm, K.J., Steele, J.S., Ram, N., & Nesselroade, J.R. (2013). Exploratory latent growth models in the structural equation modeling framework. Structural Equation Modeling, 20(4), 568-591. https://doi.org/10.1080/10705511.2013.824775