Fixed Effects Regression Models

This book demonstrates 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. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is 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.

Pages: 136

Series: Quantitative Applications in the Social Sciences

Volume: 07-160

Edition: 01

Publisher: Sage Publications, Incorporated

Copyright: 2009

Published: 04/09