Main content
SPSP Summer Psychology Forum: Modeling and Analyzing the Dynamics of Motivation, Affect, and Social Interaction /
Introduction to MLM to Longitudinal Data Analysis
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Uncategorized
Description: This workshop covers multi-level models (MLM; also known as hierarchical linear models, mixed effect models, among others) that are suitable for intensive longitudinal data. We will pair substantive research questions common for intensive data with the appropriate statistical model. For example, what model is needed to test whether within-person fluctuations in stress influence health behaviors? Topics include centering, separating within- and between- sources of variance, lagged models, accounting for time, modeling variances, and visualization. The goal of this workshop is to provide a foundational framework on which researchers can build upon. Examples and syntax will be done with R, using the lme4 and brms packages. Familiarity with one of those packages is recommended but not necessary.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.