Abstract:
Intensive longitudinal methods (ILMs) involve repeatedly assessing individuals over short periods of time often in the context of their everyday lives. These are the methods used in intensive longitudinal, ecological momentary assessment, and time series studies. ILMs have the potential to uncover temporal change in daily processes, intraindividual variability, and even person-specific effects, but they are rarely used in these ways, especially in psychological research. This presentation will illustrate three different techniques for the analysis of illustrative data from a 75-day intensive longitudinal study on daily cognition, personality, and health. The results provide insight into how regressions, multilevel models, and person-specific temporal network analyses of these data lead to disparate inferences about daily processes and individual differences.