ENGLISH

Hierarchical Linear Models: Applications and Data Analysis Methods

By Anthony S. Bryk , Stephen W. Raudenbush

Book information

Publisher
Sage Publications
Year
2002
ISBN
076191904X, 9780761919049
Language
english
Format
PDF
Filesize
6 MB (6269410 bytes)
Series
Advanced Quantitative Techniques in the Social Sciences 1
Edition
2
Pages
510\510
Time added
2016-04-25 02:30:10
Математика;Теория вероятностей и математическая ст

Description

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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