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Discovering Structural Equation Modeling Using Stata 13 (Revised Edition) [Paperback]

Alan C. Acock

Price: 49.99 & FREE Delivery in the UK. Details
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Table of Contents

Introduction to confirmatory factor analysis
The "do not even think about it" approach
The principal component factor analysis approach
Alpha reliability for our nine-item scale
Generating a factor score rather than a mean or summative score
What can CFA add?
Fitting a CFA model
Interpreting and presenting CFA results
Assessing goodness of fit
A two-factor model
Extensions and what is next
Using the SEM Builder to run a CFA

Using structural equation modeling for path models
Path model terminology
A substantive example of a path model
Estimating a model with correlated residuals
Auxiliary variables
Testing equality of coefficients
A cross-lagged panel design
Nonrecursive models
Using the SEM Builder to run path models

Structural equation modeling
The classic example of a structural equation model
Equality constraints
Programming constraints
Structural model with formative indicators

Latent growth curves
Discovering growth curves
A simple growth curve model
Identifying a growth curve model
An example of a linear latent growth curve
How can we add time-invariant covariates to our model?
Explaining the random effects—time-varying covariates
Constraining variances of error terms to be equal (optional)

Group comparisons
Interaction as a traditional approach to multiple-group comparisons
The range of applications of Stata’s multiple-group comparisons with sem
A measurement model application
Multiple-group path analysis
Multiple-group comparisons of structural equation models

Epilogue—what now?
What is next?

The graphical user interface
Menus for Windows, Unix, and Mac
Designing a structural equation model
Drawing an SEM model
Fitting a structural equation model
Postestimation commands
Clearing preferences and restoring the defaults

B Entering data from summary statistics

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