Structural equation modeling for those who think they don't care
AbstractWe will discuss SEM (structural equation modeling), not from the perspective of the models for which it is most often used--measurement models, confirmatory factor analysis, and the like--but from the perspective of how it can extend other estimators. From a wide range of choices, we will focus on extensions of mixed models (random and fixed-effects regression). Extensions include conditional effects (not completely random), endogenous covariates, and others.
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Bibliographic InfoPaper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2011 with number 13.
Date of creation: 26 Sep 2011
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-10-09 (All new papers)
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