This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poissonmodels, 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. INDICE: Series Editor Introduction 1-Introduction 2-Linear Fixed Effects Models: Basics 3-Fixed Effects Logistics Moels 4-Fixed Effects Models for CountData 5-Fixed Effects Models for Event History Data 6-Structural Equation Models with Fixed Effects 7-References Appendix A Appendix B
- ISBN: 978-0-7619-2497-5
- Editorial: Sage
- Encuadernacion: Rústica
- Páginas: 152
- Fecha Publicación: 01/01/2009
- Nº Volúmenes: 1
- Idioma: Inglés