Applied Regression Analysis and Generalized Linear Models

This comprehensive guide offers a modern approach to regression analysis and generalized linear models, emphasizing their applications in the social sciences. The Third Edition features updated content, including new chapters on mixed-effects models for hierarchical and longitudinal data. It caters to readers with basic statistical knowledge while also providing advanced material in optional sections, making it suitable for a wide range of learners. Key methods like bootstrapping and handling missing data are also thoroughly addressed.