Call for Papers
Model Identification and Estimation for Longitudinal Data in Practice
Psychometrika is seeking submissions for a forthcoming Special Section on Model Identification and Estimation for Longitudinal Data in Practice. In particular, we invite submissions for a special section on model identifiability and estimability in the context of analyzing realistic educational, psychological, and more generally, social and behavioral sciences longitudinal data. Submissions should focus on statistical models commonly used for analyzing longitudinal data-including but not limited to-linear or nonlinear mixed-effects models, generalized mixed-effects models, and latent growth curve models.
Guest editors for this special issue are Carolyn J. Anderson (firstname.lastname@example.org) and Donald Hedeker (email@example.com)
More information about this Call for Papers can be found on the Psychometrika Website