In this volume, Shavelson and Webb offer an intuitive development of generalizability theory and cover a wide 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 diff
Generalizability Theory: A Primer
โ Scribed by Richard J. Shavelson, Noreen M. Webb
- Publisher
- Sage Publications, Inc
- Year
- 1991
- Tongue
- English
- Leaves
- 152
- Series
- Measurement Methods for the Social Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front cover
......Page 1
Copyright
......Page 2
Measurement methods for the social science series
......Page 4
Contents
......Page 7
Series editor's foreword
......Page 9
Preface
......Page 11
Acknowledgements
......Page 13
1. Concepts in generalizability theory
......Page 15
2. Statistical model underlying generalizability theory
......Page 31
3. Generalizability studies with crossed facets
......Page 41
4. Generalizability studies with nested facets
......Page 60
5. Generalizability studies with fixed facets
......Page 79
6. Decision studies: measurement error and generalizability coefficients
......Page 97
7. Generalizability and decision studies with the same design
......Page 113
8. Generalizability and decision studies with different designs
......Page 129
9. Summary and next steps
......Page 141
References
......Page 146
Index
......Page 148
About the authors
......Page 151
Back cover
......Page 152
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