| 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 |
| |
