Introduction. Experience sampling methods (ESM) are an increasingly popular strategy for studying affective processes (i.e., mood and emotions). In these studies, the emotional state of one or more individuals is measured several times a day during multiple days or weeks. A unique feature of these studies is the spacing
of observations: measurements are frequent during waking hours but...
A popular cost-effective way of collecting longitudinal data is the accelerated longitudinal design (ALD). In ALDs, participants from different cohorts are measured repeatedly but the measures provided by each participant cover only a fraction of the time range of the study. It is then assumed that the common trajectory can be studied by aggregating the information provided by the different...
State-space models (SSMs) provide a powerful framework for modeling dynamic systems, capturing both intra-individual and inter-individual variability in longitudinal data. In the context of cognitive development research, one interesting feature of SSMs is their ability to model deviations, or “shocks,”in individual trajectories. Such shocks may signal atypical changes that could be considered...
One of the key questions in longitudinal research is when to take measurements of the variables of interest. Panel studies usually focus on the dynamics between two processes over time (e.g., depressive symptoms and self-esteem), and include few repeated measures (<10). This forces researchers to find the most efficient way to design their study and collect their data. Recently introduced in...
