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Multilevel analysis: An introduction to basic and advanced multilevel modeling Snijders T., Bosker R.
Publisher: Sage

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. Multilevel data are especially This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. Use of Bayesian methods is becoming increasingly widespread within quantitative social and health sciences, particularly for analysing data with complex structure, such as hierarchical or multilevel data. However This two-day course aims to introduce quantitative researchers to the basic principles of Bayesian inference and simulation-based methods for estimating Bayesian models, and to highlight some of the potential benefits that a Bayesian approach can offer. The simplest example is clustered data, such as a sample of students clustered within schools. Washington, DC: National Academy of Sciences. The rehabilitation of criminal offenders: Problems and prospects. Multilevel analysis: An introduction to basic and advanced multilevel modeling. Snijders TAB, Bosker RJ: Multilevel analysis: an introduction to basic and advanced multilevel modeling. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Albert Gifi team who wrote Nonlinear Multivariate Analysis. London: SAGE Publications Ltd; 1999.