An introduction to joint effects in a cross-lagged panel setting. We compare the estimation of such joint effects with structural equation models and with g-estimation of structural nested mean models.
Jun 17, 2024
An applied research project in which we use Bayesian multilevel growth curve model to describe individual differences in the development of behavioral and neural responses to social rejection in children.
Apr 1, 2024
We describe three phases of causal research to better understand the differences between a structural equation modeling approach and a g-methods approach to studying effects of a time-varying exposure.
Mar 19, 2024
A proposal for a power analysis strategy for the popular random intercept cross-lagged panel model. This strategy is implemented in the R package `powRICLPM`.
Nov 21, 2022
An applied project in which we compare multiple latent growth curve models using $k$-fold cross-validation to predict PTSD after an intensive PTSD treatment program.
Sep 15, 2021
A didactical introduction to different goals of scientific research, and how these relate to different research methods in terms of design, operationalization, modeling building and evaluation.
Dec 1, 2020
A didactical introduction to the random intercept cross-lagged panel model and three popular extensions thereof. It includes fully annotated R code and Mplus syntax in the online supplementary materials.
Aug 11, 2020