Title:
Ordinal item response theory : Mokken scale analysis
Personal Author:
Series:
Quantitative applications in the social sciences ; 169
Publication Information:
Thousand Oaks : Sage Publications, Inc, 2011
Physical Description:
xi, 114 p. : ill. ; 22 cm.
ISBN:
9781412988049
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 35000000001613 | H62 S35 2011 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
Table of Contents
| 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 |
