Hierarchical linear models : applications and data analysis methods

書誌事項

Hierarchical linear models : applications and data analysis methods

Anthony S. Bryk, Stephen W. Raudenbush

(Advanced quantitative techniques in the social sciences, 1)

Sage, c1992

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注記

Bibliography: p. 259-264

内容説明・目次

内容説明

Much social and behavioural research involves hierarchical data structures. The effects of school characteristics on students, how differences in government policies from country to country influence demographic relations within them, and how individuals exposed to different environmental conditions develop over time are a few examples. This introductory text explicates the theory and use of hierarchical linear models through rich illustrative examples and lucid explanations.

目次

IntroductionThe Logic of Hierarchical Linear ModelsPrinciples of Estimation and Hypothesis Testing for Hierarchical Linear ModelsAn IllustrationApplications in Organizational ResearchApplications in the Study of Individual ChangeApplications in Meta-Analysis and Other Cases Where Level-1 Variances are KnownThree-Level ModelsAssessing the Adequacy of Hierarchical ModelsTechnical Appendix

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