| Document Type
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BL
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| Record Number
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633628
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| Doc. No
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dltt
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| Main Entry
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Raudenbush, Stephen W
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| Title & Author
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Hierarchical linear models : : applications and data analysis methods /\ Stephen W. Raudenbush, Anthony S. Bryk
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| Edition Statement
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2nd ed
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| Publication Statement
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Thousand Oaks :: Sage Publications,, c2002
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| Series Statement
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Advanced quantitative techniques in the social sciences ;; 1
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| Page. NO
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xxiv, 485 p. :: ill. ;; 24 cm
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| ISBN
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076191904X
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: 9780761919049
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| Notes
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Bryk's name appears first on the previous edition
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| Bibliographies/Indexes
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Includes bibliographical references (p. 467-476) and index
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| Contents
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Series Editor's Introduction to Hierarchical Linear Models -- Series Editor's Introduction to the Second Edition -- The Logic of Hierarchical Linear Models -- Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models -- An Illustration -- Applications in Organizational Research -- Applications in the Study of Individual Change -- Applications in Meta-Analysis and Other Cases where Level-1 Variances are Known -- Three-Level Models -- Assessing the Adequacy of Hierarchical Models -- Hierarchical Generalized Linear Models -- Hierarchical Models for Latent Variables -- Models for Cross-Classified Random Effects -- Bayesian Inference for Hierarchical Models -- Estimation Theory
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| Subject
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Social sciences-- Statistical methods
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| Subject
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Linear models (Statistics)
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| Subject
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Linear Models
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| Subject
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Data Interpretation, Statistical
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| Subject
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Social Sciences
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| LC Classification
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HA29.H64 2002
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| Added Entry
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Bryk, Anthony S
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