Allison, Paul D. <br/><br/>
Fixed effects regression models  

 - Beverly Hills  Sage Publications, Inc.  2009 
 - 123 p. 
 - Quantitative applications in the social sciences .
<br/><br/> Description<br/>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. 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 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. 
<br/><br/><label>ISBN: </label>9780761924975 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Social sciences--Statistical methods<br/>Regression analysis
<br/><br/><label>Dewey Class. No.: </label>519.536  / ALL