Ordinal item response theory : Mokken scale analysis
著者
書誌事項
Ordinal item response theory : Mokken scale analysis
（Sage publications series, . Quantitative applications in the social sciences ; no. 09-169）
Sage, c2011
- : pbk
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注記
Series no. on spine: 07-169
Bibliography: p. 101-104
Includes indexes
内容説明・目次
内容説明
Measurement in the social sciences often refers to standardized answers to close-ended questions, in which answers are analyzed as if they were measurements on an interval scale. This volume presents a measurement model that maintains the ordinal aspects of the data in order to establish how well the model fits and how it measures subjects and items. It relaxes the most stringent assumptions from parametric item response theory, while maintaining its advantages over classical measurement methods, such as reliability and factor analysis. This volume is less technical than other books on the topic and is ideal for introductory courses in social science measurement.
目次
About the Author
Series Editor's Introduction
Acknowledgments
Chapter 1. Introduction
Chapter 2. The Guttman Scale
Chapter 3. The Imperfect Cumulative Scale
Chapter 4. Confirmation or Exploration
Chapter 5. An Example of a Cumulative Scale: American Religious Beliefs
Chapter 6. The Probabilistic Dominance Model: Monotone Homogeneity
Chapter 7. The Probabilistic Dominance Model: Double Monotonicity
Chapter 8. Cumulative Scaling with Polytomous Items
Chapter 9. Remaining Issues
References
Selected Bibliography
Appendices
Author Index
Subject Index
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