Hierarchical linear models : applications and data analysis methods
Author(s)
Bibliographic Information
Hierarchical linear models : applications and data analysis methods
（Advanced quantitative techniques in the social sciences, 1）
Sage, c1992
Available at / 35 libraries
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Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
300.1-109081000086133
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Note
Bibliography: p. 259-264
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"
