Multilevel Analysis: Techniques and Applications
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.
Hox, J., Moerbeek, M., & van de Schoot, R. (2018). Multilevel Analysis: Techniques and Applications, Third Edition (Quantitative Methodology Series). New York: Routledge.
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Chapter 2 is freely available for teaching purposes.
The website of our book Multilevel Analysis: Techniques and Applications (3rd edition) has been updated with datasets, exercises and much more! Go to: https://multilevel-analysis.sites.uu.nl/