Hierarchical linear models: applications and data analysis methods

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Sage Publications, 1992 - Mathematics - 265 pages
2 Reviews

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.

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Review: Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences #1)

User Review  - Laura Tortorelli - Goodreads

The gold standard. Read full review

Review: Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences #1)

User Review  - Laura - Goodreads

This is the textbook for the week-long Hierarchical Linear Models course; it is a very difficult book but the authority in the field. Read full review

Contents

Introduction
1
The Logic of Hierarchical Linear Models
9
An Illustration
60
Copyright

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About the author (1992)

He is a Professor of Education at the University of Chicago and Director of its Center for School Improvement.

He is a Professor of Education at University of Michigan.