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Ordinal Item Response Theory
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Ordinal Item Response Theory
Mokken Scale Analysis



May 2011 | 128 pages | SAGE Publications, Inc
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.

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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
Key features
  • Provides students with hands-on calculations: The book offers transparency of method that students will appreciate.
  • Help students more easily find structure among a subset of data: The author shows how ordinal item response theory can be the most efficient method for working with scales with only a few items.
  • Compares this method to models for classical test theory such as factor analysis and reliability analysis: This provides students with an alternative that is more applicable to social science research.

Sample Materials & Chapters

Chapter 1. Introduction

Chapter 3. The Imperfect Cumulative Scale


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