SEM stands for structural equation modeling. SEM is a notation for
specifying structural equations, a way of thinking about them, and methods
for estimating their parameters.
SEM encompasses a broad array of models from linear regression to
measurement models to simultaneous equations, including along the way
confirmatory factor analysis (CFA), correlated uniqueness models, latent
growth models, and multiple indicators and multiple causes (MIMIC).
Stata’s new sem command fits SEMs.
Features
- Use GUI or command language to specify model.
- Standardized and unstandardized results.
- Direct and indirect effects.
- Goodness-of-fit statistics.
- Tests for omitted paths and tests of model simplification including modification indices, score tests, and Wald tests.
- Predicted values and factor scores.
- Linear and nonlinear (1) tests of estimated parameters and (2) combinations of estimated parameters with CIs.
- Estimation across groups is as easy as adding group(sex) to the command. Test for group invariance. Easily add or relax constraints across groups.
- SEMs may be fitted using raw or summary statistics data.
- Maximum likelihood (ML) and asymptotic distribution free (ADF) estimation. ADF is also known as generalized method of moments (GMM). Missing at random (MAR) data supported via FIML.
- Robust estimate of standard errors and standard errors for clustered samples available.
- Support for survey data including sampling weights, stratification and poststratification, and clustered sampling at one or more levels.
Hiç yorum yok:
Yorum Gönder