Course: Advanced Structural Equation Modeling


  • 10 January 2014
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Aim of Course:

This course covers many popular advanced SEM models with practical exercises. After completing this course, students will be able to specify, execute and interpret output for Multiple Indicator and Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models. Students will also be able to incorporate latent variable growth curves into models (this concept takes traditional modeling of growth curves for repeated measures data, and extends it to cover the use of latent variables via SEM methods).

Course Program:

WEEK 1: Multiple Indicators and Causes

Multiple Indicator and Multiple Causes (MIMIC) model
Multiple-Group model

WEEK 2: Multilevel Models

Multilevel (HLM) model
Mixture model
Structured Means model

WEEK 3: Multitrait, Multimethod, Interacties

Multitrait-Multimethod model
Second Order Factor model
Interaction models

WEEK 4: Latent Variable, Dynamic Factor

Latent Variable Growth Curve model
Dynamic Factor model
Power and Sample Size
Monte Carlo Methods

Please note this is an online course running until 7th February 2014.

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