Overview
- Winner of the 2013 Division D Significant Contribution to Educational Measurement and Research Methodology award
- Approaches equating as a theoretical field.
- Emphasizes good equating theory and practice, and sound understanding of underlying assumptions
- Challenges the traditional view that only years of apprenticeship to a seasoned practitioner can one master equating
- Will be a good reference for students and researchers from psychometrics and statistics as well as those in educational measurement
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Social and Behavioral Sciences (SSBS)
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Table of contents (20 chapters)
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Front Matter
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Research Questions and Data Collection Designs
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Front Matter
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A Statistical Perspective on Equating Test Scores
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Research Questions and Data Collection Designs
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Front Matter
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Measurement and Equating Models
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Front Matter
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Evaluation
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Front Matter
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Keywords
About this book
The book contributes to establishing “equating” as a theoretical field, a view that has not been offered often before. The tradition in the practice of equating has been to present the knowledge and skills needed as a craft, which implies that only with years of experience under the guidance of a knowledgeable practitioner could one acquire the required skills. This book challenges this view by indicating how a good equating framework, a sound understanding of the assumptions that underlie the psychometric models, and the use of statistical tests and statistical process control tools can help the practitioner navigate the difficult decisions in choosing the final equating function.
This book provides a valuable reference for several groups: (a) statisticians and psychometricians interested in the theory behind equating methods, in the use of model-based statistical methods for data smoothing, and in the evaluation of the equating results in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric, measurement, and psychology programs.
Reviews
From the reviews:
“The intended audience of the book consists of graduate students, researchers, statisticians and psychometricians who are interested in equating theory, as well as practitioners who equate tests. … volume is easy to understand since overall it is clear and well written, and has examples that are nice and easy to follow. … I recommend this book for anyone with an interest in the equating research field, and … the book has succeeded in providing a statistical view on equating which has long been searched for.” (Marie Wiberg, Psychometrika, Vol. 78 (1), January, 2013)Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Statistical Models for Test Equating, Scaling, and Linking
Editors: Alina A. Davier
Series Title: Statistics for Social and Behavioral Sciences
DOI: https://doi.org/10.1007/978-0-387-98138-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-0-387-98137-6Published: 28 October 2010
Softcover ISBN: 978-1-4614-2710-0Published: 01 December 2012
eBook ISBN: 978-0-387-98138-3Published: 19 October 2010
Series ISSN: 2199-7357
Series E-ISSN: 2199-7365
Edition Number: 1
Number of Pages: XX, 368
Topics: Assessment, Testing and Evaluation, Psychometrics, Statistics for Social Sciences, Humanities, Law