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

by Stephen W. Raudenbush, Anthony S. Bryk

Social Sciences Mathematics
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This volume examines hierarchical linear models as an advanced quantitative technique for social science research. With an emphasis on applications and data analysis methods, it offers a focused resource for readers studying statistical modeling and the analysis of structured social science data.

ISBN-13 9780761919049 ASIN 076191904X Views 126 Publisher SAGE Publications, Inc Year 2001 Edition 2nd Format Hardcover Product Group Book Pages 512 Adult No Created February 10, 2026 Updated September 06, 2026
About This Book

Hierarchical Linear Models: Applications and Data Analysis Methods presents an advanced quantitative treatment of hierarchical linear modeling.

The book focuses on applying these methods to data analysis within the social sciences.

It is suited to readers seeking a specialized resource on quantitative techniques and model-based analysis.

Stephen W. Raudenbush and Anthony S. Bryk are the listed authors.

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I will be using this book for:
4 total votes