Hierarchical Linear Models: Applications and Data Analysis Methods
by Stephen W. Raudenbush And Anthony S. Bryk
A comprehensive resource on hierarchical linear models, offering methods and applications for analyzing nested data in social science research.
About This Book
This book presents hierarchical linear models as a framework for analyzing data with nested structures.
It covers applications and data analysis methods relevant to social science research.
The text addresses both theoretical foundations and practical implementation of these models.
Readers will find guidance on applying hierarchical techniques to real-world datasets.
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