Description:

Hierarchical Linear Modeling provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original "how-to" application articles following a standardized instructional format. The Guide portion consists of five chapters that provide an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The Applications portion consists of ten contributions in which authors provide step-by-step presentations of how HLM is implemented and reported for introductory to intermediate applications.

Key Features

• The brief guide to hierarchical linear modeling (multilevel modeling), is followed by a set of application articles based on recent articles in leading journals and recent doctoral dessertations
• The "guide" portion focuses on all three leading software platforms used in linear modeling: SPSS, SAS, and HLM.
• The "applications" portion consists of a dozen contributions in which the authors substantially revise prior published and dissertation work to emphasize how-to and methodological aspects as well as modeling how-to-write-up aspects in addition to a deemphasis on field-specific details.