Generalizability Theory: A Primer

By Richard J. Shavelson and Noreen M. Webb

Book Overview

Accessible to any professional or researcher who has a basic understanding of analysis of variance, Shavelson and Webb offer an intuitive development of generalizability theory, a technique for estimating the relative magnitudes of various components of error variation and for indicating the most efficient strategy for achieving desired measurement precision. Covering a variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability coefficients, and decision studies with same and with different designs, the text includes exercises so the reader may practice the application of each chapter′s material. By using detailed illustrations and examples, Shavelson and Webb clearly describe the logic underlying major concepts in generalizability theory to enable readers to apply these methods when investigating the consistency of their own measurements.

• Format: Paperback
• Language: English
• ISBN: 0803937458
• ISBN13: 9780803937451
• Release Date: July 1991
• Publisher: Sage Publications
• Length: 152 Pages
• Weight: 0.50 lbs.
• Dimensions: 0.4" x 5.6" x 8.5"

Customer Reviews

Great intro to G Theory, but you'll also need...

This is a well-written, easy-to-digest book that I was able to read in two sittings over one weekend. It provides the background on G Theory, but if you're hoping to conduct your own G Study, you'll also need Brennan's "Generalizability Theory" and the GENOVA software that is free and available on the web.