Summary
Contents
Subject index
This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Written at a level appropriate for anyone who has taken a year of statistics, the book will be appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.
Structural Equation Models with Fixed Effects
Structural Equation Models with Fixed Effects
In Chapter 2, we considered several different methods for estimating linear fixed effects regression models. In this chapter, we shall see how to estimate a fixed effects regression as a linear structural equation model with a latent variable. Why do we need another method for estimating the ...
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