Hierarchical Linear Models: Applications and Data Analysis Methods

Hierarchical Linear Models: Applications and Data Analysis Methods

by Anthony S. Bryk, Stephen W. Raudenbush
     
 

ISBN-10: 0803946279

ISBN-13: 9780803946279

Pub. Date: 01/28/1992

Publisher: SAGE Publications

Much social and behavioral 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

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Overview

Much social and behavioral 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.

Product Details

ISBN-13:
9780803946279
Publisher:
SAGE Publications
Publication date:
01/28/1992
Series:
Advanced Quantitative Techniques in the Social Sciences Series, #1
Edition description:
Older Edition
Pages:
265
Product dimensions:
6.00(w) x 9.00(h) x (d)

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

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