Ordinal Item Response Theory is volume 169 in the SAGE Series "Quantitative Applications in the Social Sciences" (QASS). Ordinal Item Response Theory is referred to throughout many other QASS titles and fills a gap between the more classical topics of undimensional scaling, test theory, principal component and factor analysis. In addition, this volume also discusses parametric item response theory and latent class analysis. This monograph is less technical than many books on the market and is ideal for introductory courses in social science measurement. Measurement in the social sciences…mehr
Ordinal Item Response Theory is volume 169 in the SAGE Series "Quantitative Applications in the Social Sciences" (QASS). Ordinal Item Response Theory is referred to throughout many other QASS titles and fills a gap between the more classical topics of undimensional scaling, test theory, principal component and factor analysis. In addition, this volume also discusses parametric item response theory and latent class analysis. This monograph is less technical than many books on the market and is ideal for introductory courses in social science measurement.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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Wijbrandt H. van Schuur is associate professor at the Faculty of Behavioral and Social Sciences of the University of Groningen, The Netherlands. He is interested in measurement models and has taught measurement and scaling models in Groningen and at the Essex Summer School in Social Science Data Analysis. He has developed an ordinal unidimensional unfolding model and a model for the ordinal circumplex (for the first see Political Analysis, 1993, and Applied Psychological Measurement, 1994; and for the second, Essays in item response theory: Lecture notes in statistics, Vol. 157, 2001). His main substantive research interest is in the measurement of political knowledge (e.g. Acta Politica 2000), and, in collaboration with the Documentation Centre Dutch Political Parties, the study of party membership (e.g. Research in Political Sociology, Vol. 18, 2010).
Inhaltsangabe
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
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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