Longitudinal Structural Equation Modeling for Family and Social Sciences
HDFS 8860
3 hours
Longitudinal Structural Equation Modeling for Family and Social Sciences
Course Description
This course focuses on several topics related to longitudinal continuous and categorical data analysis. Topics include analysis of change, analysis of panel data, longitudinal couple data, latent transition models, and survival mixture models. Examples from the family, social, and behavioral sciences are used.
Athena Title
Longitudinal Analysis
Prerequisite
HDFS 8730 or permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Student learning Outcomes
Students will understand/develop the types of complex hypotheses and research questions for which advanced analytical procedures for panel data are used.
Students will perform a number of advanced longitudinal analytical procedures, including higher-order latent growth curve modeling, difference-score growth modeling, mixture modeling and transition analysis, and the combination of these procedures from a structural equation modeling (SEM) perspective.
Students will read and evaluate research articles in the area of behavioral science for which these advanced analytical procedures are used.
Topical Outline
1. Orientation to Course
2. Path Analysis, Causation, Indirect, Direct and Total Effects, Mediation, and Moderation