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Structural Equation Modeling Reference Manual

Publisher:  Stata Press
Copyright:  2011
ISBN-13:  978-1-59718-097-9
Pages:  294
Price:  $45.00

Table of contents

intro 1 Introduction
intro 2 Learning the language: Path diagrams and command language
intro 3 Substantive concepts
intro 4 (pdf) Tour of models
intro 5 Comparing groups
intro 6 Postestimation tests and predictions
intro 7 Robust and clustered standard errors
intro 8 Standard errors, the full story
intro 9 Fitting models using survey data
intro 10 Fitting models using summary statistics data
 
estat eqgof Equation-level goodness-of-fit statistics
estat eqtest Equation level that all coefficients are zero
estat framework Display estimation results in modeling framework
estat ggof Group-level goodness-of-fit statistics
estat ginvariant Tests for invariance of parameters across groups
estat gof Goodness of fit statistics
estat mindices Modification indices
estat residuals Display mean and covariance residuals
estat scoretests Score tests
estat stable Check stability of nonrecursive system
estat stdize Test standardized parameters
estat summarize Report summary statistics for estimation sample
estat teffects Decomposition of effects into total, direct, and indirect
example 1 Single-factor measurement model
example 2 Creating dataset from published covariances
example 3 Two-factor measurement model
example 4 Goodness-of-fit statistics
example 5 Modification indices
example 6 Linear regression
example 7 Nonrecursive structural model
example 8 Testing that coefficients are equal, and constraining them
example 9 Structural model with measurement component
example 10 MIMIC model
example 11 estat framework
example 12 Seemingly unrelated regression
example 13 Equation-level Wald test 130
example 14 Predicted values
example 15 Higher-order CFA
example 16 Correlation
example 17 Correlated uniqueness model
example 18 Latent growth model
example 19 Creating multiple-group summary statistics data
example 20 Two-factor measurement model by group
example 21 Group-level goodness of fit
example 22 Testing parameter equality across groups
example 23 Specifying parameter constraints across groups
example 24 Reliability
example 25 Creating summary statistics data from raw data
example 26 Fitting a model using data missing at random
 
GUI Graphical user interface
 
lincom Linear combinations of parameters
lrtest Likelihood-ratio test of linear hypothesis
 
methods and formulas Methods and formulas
 
nlcom Nonlinear combinations of parameters
 
predict Factor scores, linear predictions, etc.
 
sem Structural equation model estimation command
sem estimation options Options affecting estimation
sem group options Fitting models on different groups
sem model description options Model description options
sem option constraints( ) Specifying constraints
sem option covstructure( ) Specifying covariance restrictions
sem option from( ) Specifying starting values
sem option method( ) Specifying method and calculation of VCE
sem option noxconditional Computing means, etc. of observed exogenous variables
sem option reliability( ) Fraction of variance not due to measurement error
sem option select( ) Using sem with summary statistics data
sem path notation Command syntax for path diagrams
sem postestimation Postestimation tools for sem
sem reporting options Options affecting reporting of results
sem ssd options Options for use with summary statistics data
sem syntax options Options affect interpretation of syntax
ssd Making summary statistics data
 
test Wald test of linear hypotheses
testnl Wald test of nonlinear hypotheses
 
Glossary (pdf)
References
 
Subject and author index (pdf)
 
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