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Multilevel analysis. An introduction to basic and advanced multilevel modeling. (English) Zbl 0953.62127

London: SAGE Publications. viii, 266 p. (1999).
This book discusses the principal models of multilevel analysis and treats many practical issues which arise in multilevel modeling. It also includes information on designing multilevel studies, longitudinal and multivariate data, multilevel logistic regression, and software for multilevel modeling and analysis. This book is intended for researchers and applied statisticians in the social sciences, including education. It is also an indispensable reference book for practical users of multilevel analysis in the economic, biological, medical, and health disciplines.
Chapter headings: (1) Introduction; (2) Multilevel theories, multi-stage sampling, and multilevel models; (3) Statistical treatment of clustered data; (4) Random intercept model; (5) Hierarchical linear model; (6) Testing and model specification; (7) How much does the model explain? (8) Heteroscedasticity; (9) Assumptions of the hierarchical linear model; (10) Designing multilevel studies; (11) Crossed random coefficients; (12) Longitudinal data; (13) Multivariate multilevel models; (14) Discrete dependent variables; (15) Software.

MSC:

62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62P25 Applications of statistics to social sciences
62Pxx Applications of statistics
62-04 Software, source code, etc. for problems pertaining to statistics
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