Fixed Effects Regression Models
- Thousand Oaks, Calif. [u.a.], SAGE Publications, 2009
- 136 pages
- C2 83
- Quantitative Applications in the Social Sciences (Volume 160) .
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