Hierarchical Linear Models: Applications and Data Analysis Methods: 1 (Advanced Quantitative Techniques in the Social Sciences)

Hierarchical Linear Models: Applications and Data Analysis Methods: 1 (Advanced Quantitative Techniques in the Social Sciences)

by Anthony S. Bryk (Author), Stephen W. Raudenbush (Author)

Synopsis

Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.

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More Information

Format: Hardcover
Pages: 512
Edition: Second
Publisher: SAGE Publications, Inc
Published: 31 Jan 2002

ISBN 10: 076191904X
ISBN 13: 9780761919049