Hierarchical linear models : applications and data analysis methods
著者
書誌事項
Hierarchical linear models : applications and data analysis methods
（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
Introduction
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
Technical Appendix
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