附註:Includes bibliographical references (pages 281-292) and indexes.
Preface; 1. Introduction to multilevel analysis; 2. The basic two-level regression model: introduction; 3. Estimation and hypothesis testing in multilevel regression; 4. Some Important Methodological and Statistical Issues; 5. Analyzing Longitudinal Data; 6. The logistic model for dichotomous data and proportions; 7. Cross-classified multilevel models; 8. The multilevel approach to meta-analysis; 9. Multivariate multilevel regression models; 10. Sample sizes and power analysis in multilevel regression; 11. Advanced methods for estimation and testing; 12. Multilevel factor models.
摘要:This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model; and a model for multilevel covariance structures.
