SPSS - Training

Introduction to AMOS

Course description:

An introduction to structural equation modeling (SEM) using Amos 7 and its graphical interactive path modeling tools. The fundamentals of SEM are reviewed, and modern advances in structural modeling and statistical methods are emphasized, demonstrated with practical examples drawn from a variety of application areas, such as marketing, customer satisfaction, healthcare, and education.

Who Should Attend:

Individuals with an interest in Structural Equation Modeling who are interested in getting up to speed quickly and efficiently on Amos 7. The course covers the fundamentals of SEM as well as introducing some of the more advanced topics in SEM.

Prerequisite:

Some experience in multiple regression is strongly recommended. Knowledge of factor analysis would be helpful. No prior knowledge of SEM and/or Amos is assumed.

Course Content:

Overview of structural equation modeling
Simple regression models with Amos
Confirmatory factor analysis models
Specifying applied regression, factor analysis, and structural regression models
Tests of model adequacy and fit
Identification problems in factor analysis and structural equation models
Structural equation models with means and intercepts
Multi-group models, with and without constraints across groups
Handling incomplete or missing data
Analysis of non-normal data: Applications of the bootstrap method to estimate empirical standard errors and confidence intervals of parameter estimates, and to obtain robust tests of model fit

Duration

2 days

SPSS - Training

Introduction to AMOS

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