Intensive longitudinal methods, often called experience sampling, daily diary, or ecological momentary assessment methods, allow researchers to study people’s thoughts, emotions, and behaviors in their natural contexts. Typically, they involve self-reports from individuals, dyads, families or other small groups over the course of hours, days, and weeks. Such data can reveal life as it is actually lived and provide insights that are not possible using conventional experimental or survey research methods. Intensive longitudinal data, however, present data analytic challenges stemming from the multiple levels of analysis and temporal dependencies in the data. In this half-day workshop, participants will (a) recognize the types of research questions that can be addressed using intensive longitudinal methods; (b) see example datasets and how to run basic longitudinal models using SPSS Mixed and Mplus; and (c) understand in broad strokes how complex topics such as dyadic, mediation, and power analyses can be handled using Mplus. We will assume that participants are familiar with multiple regression analysis and ANOVA.
RECOMMENDED READING: Bolger, N. & Laurenceau, J-P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. New York: Guilford.
Data sets and syntax for analyses can be found here: www.intensivelongitudinal.com