Generalizability Theory: A Primer

Front Cover
SAGE, Jul 23, 1991 - Medical - 137 pages
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.
 

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Excellent book --definitely a solid source for tackling G-theory.

Contents

Concepts in Generalizability Theory
1
Statistical Model Underlying Generalizability Theory
17
Generalizability Studies with Crossed Facets
27
Generalizability Studies with Nested Facets
46
Generalizability Studies with Fixed Facets
65
Measurement Error
83
Generalizability and Decision Studies with
99
Generalizability and Decision Studies with Different
115
Summary and Next Steps
127
About the Authors
134
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