6.1. Introduction
In chapter 2, we saw how to estimate fixed effects linear regression models using several different methods and several different SAS procedures, including REG, GLM, TSCSREG, GENMOD, and MIXED. Now we are going to estimate the same model with PROC CALIS, which is designed to estimate linear structural equation models with latent variables, sometimes known as LISREL models. Why do we need another SAS procedure when we already have five that will do the job? The reason is that by estimating the linear fixed effects model in CALIS, we can do several important things that are not possible with the other procedures:
estimate models that are a compromise between fixed and random effects models
construct a likelihood ratio test for ...
Get Fixed Effects Regression Methods for Longitudinal Data Using SAS now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
