The current article aims to provide an up-to-date synopsis of available techniques to study
affect dynamics using intensive longitudinal data (ILD). We do so by introducing the following …

The cross-lagged panel model (CLPM) is believed by many to overcome the problems
associated with the use of cross-lagged correlations as a way to study causal influences in …

Scientific research can be categorized into: a) descriptive research, with the main goal to
summarize characteristics of a group (or person); b) predictive research, with the main goal to …

The random intercept cross-lagged panel model (RI-CLPM) is rapidly gaining popularity in
psychology and related fields as a structural equation modeling (SEM) approach to …

This chapter presents reasoning for taking an alternative research approach to the study of
processes that unfold within individuals over time as part of their daily lives. To this end I …

This article presents dynamic structural equation modeling (DSEM), which can be used to
study the evolution of observed and latent variables as well as the structural equation models …

There has been a strong increase in the number of studies based on intensive longitudinal
data, such as those obtained with experience sampling and daily diaries. These data contain …

With the growing popularity of intensive longitudinal research, the modeling techniques and
software options for such data are also expanding rapidly. Here we use dynamic multilevel …

Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities. …

Inferring reciprocal effects or causality between variables is a central aim of behavioral and
psychological research. To address reciprocal effects, a variety of longitudinal models that …