Generalizability Theory: A Primer (Measurement Methods for the Social Science)
Shavelson, Richard J.; Webb, Noreen M.
Language: English
Published by SAGE Publications, Inc, 1991
- Softcover
- New
Seller: SHIMEDIA, Brooklyn, NY, U.S.A.SHIMEDIA
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Item description from seller
Seller Inventory # 0803937458
- Title
- Generalizability Theory: A Primer (Measurement Methods for the Social Science)
- Author
- Shavelson, Richard J.; Webb, Noreen M.
- Publisher
- SAGE Publications, Inc
- Publication year
- 1991
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0803937458
- ISBN 13
- 9780803937451
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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