Hierarchical Linear Models: Applications and Data Analysis Methods

by Anthony S. Bryk, Stephen W. Raudenbush

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.

265 pages, Hardcover

First published March 3, 1992