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## Structural Equation Modeling Reference Manual

 Publisher: Stata Press Copyright: 2017 ISBN-13: 978-1-59718-250-8 Pages: 659 Supplemental materials Structural Equation Modeling Using Stata training course

### Table of contents

 Acknowledgments intro 1 Introduction intro 2 Learning the language: Path diagrams and command language intro 3 Learning the language: Factor-variable notation (gsem only) intro 4 Substantive concepts intro 5 Tour of models intro 6 Comparing groups intro 7 Postestimation tests and predictions intro 8 Robust and clustered standard errors intro 9 Standard errors, the full story intro 10 Fitting models with survey data intro 11 Fitting models with summary statistics data (sem only) intro 12 Convergence problems and how to solve them Builder SEM Builder Builder, generalized SEM Builder for generalized models estat eform Display exponentiated coefficients estat eqgof Equation-level goodness-of-fit statistics estat eqtest Equation-level test 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 lcgof Latent class goodness-of-fit statistics estat lcmean Latent class marginal means estat lcprob Latent class marginal probabilities estat mindices Modification indices estat residuals Display mean and covariance residuals estat scoretests Score tests estat sd Display variance components as standard deviations and correlations 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 a 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 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 with data missing at random example 27g Single-factor measurement model (generalized response) example 28g One-parameter logistic IRT (Rasch) model example 29g Two-parameter logistic IRT model example 30g Two-level measurement model (multilevel, generalized response) example 31g Two-factor measurement model (generalized response) example 32g Full structural equation model (generalized response) example 33g Logistic regression example 34g Combined models (generalized responses) example 35g Ordered probit and ordered logit example 36g MIMIC model (generalized response) example 37g Multinomial logistic regression example 38g Random-intercept and random-slope models (multilevel) example 39g Three-level model (multilevel, generalized response) example 40g Crossed models (multilevel) example 41g Two-level multinomial logistic regression (multilevel) example 42g One- and two-level mediation models (multilevel) example 43g Tobit regression example 44g Interval regression example 45g Heckman selection model example 46g Endogenous treatment-effects model example 47g Exponential survival model example 48g Loglogistic survival model with censored and truncated data example 49g Multiple-group Weibull survival model example 50g Latent class model example 51g Latent class goodness-of-fit statistics example 52g Latent profile model example 53g Finite mixture Poisson regression example 54g Finite mixture Poisson regression, multiple responses gsem Generalized structural equation model estimation command gsem estimation options Options affecting estimation gsem family-and-link options Family-and-link options gsem group options Fitting models on different groups gsem lclass options Fitting models with latent classes gsem model description options Model description options gsem path notation extensions Command syntax for path diagrams gsem postestimation Postestimation tools for gsem gsem reporting options Options affecting reporting of results lincom Linear combinations of parameters lrtest Likelihood-ratio test of linear hypothesis methods and formulas for gsem Methods and formulas for gsem methods and formulas for sem Methods and formulas for sem nlcom Nonlinear combinations of parameters predict after gsem Generalized linear predictions, etc. predict after sem Factor scores, linear predictions, etc. sem Structural equation model estimation command sem and gsem option constraints( ) Specifying constraints sem and gsem option covstructure( ) Specifying covariance restrictions sem and gsem option from( ) Specifying starting values sem and gsem option reliability( ) Fraction of variance not due to measurement error sem and gsem path notation Command syntax for path diagrams sem and gsem syntax options Options affecting interpretation of syntax sem estimation options Options affecting estimation sem group options Fitting models on different groups sem model description options Model description options sem option method( ) Specifying method and calculation of VCE sem option noxconditional Computing means, etc. of observed exogenous variables sem option select( ) Using sem with summary statistics data sem path notation extensions 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 ssd Making summary statistics data (sem only) test Wald test of linear hypotheses testnl Wald test of nonlinear hypotheses Glossary Combined author index Combined subject index