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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
  • 3. Longitudinal CFA, Scale Setting, Factor Invariance, Auto-Correlation, and Methods Factor
  • 4. Stability and Change – Residualized Change
  • 5. Autoregressive Models and Cross-lagged in Panel Data
  • 6. Stability and Change – Absolute Change, Change Scores, and Latent Change
  • 7. Comparison of Residualized Change and Absolute Change
  • 8. Growth Curve Models, Recent Extensions, and Advances
  • 9. Comparison of Auto-Regressive Models and Growth Curves, Associated Models
  • 10. Higher-Order Growth Curves and Advances
  • 11. Mixture Modeling and Advances
  • 12. Longitudinal Transitions, Transitions Across Latent Classes
  • 13. Analysis of Longitudinal Couple Data – APIM, Dyadic Growth, and Common-Fate Models

Syllabus


Public CV