Multilevel Analysis (Quantitative Methodology Series)

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

• Principles and Practice of Structural Equation Modeling, Fourth Edition (Methodology in the Social Sciences)
• Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition: A Regression-Based Approach (Methodology in the Social Sciences)
• Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling
• Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)
• Using Multivariate Statistics , 6Th Edition
• Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
• Data Visualization: A Practical Introduction
• Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
• A Beginner's Guide to Structural Equation Modeling
• Multilevel Modeling in Plain Language