Statistics for Social and Behavioral Sciences

Statistical Models for Test Equating, Scaling, and Linking

Editors: von Davier, Alina (Ed.)

  • 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
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  • ISBN 978-0-387-98138-3
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Hardcover $139.00
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  • ISBN 978-0-387-98137-6
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Softcover $139.00
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  • ISBN 978-1-4614-2710-0
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About this book

The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monitoring) as opposed to placing the focus on the policy and the implications, which although very important, represent a different side of the equating practice. 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. Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called “Equating and Applied Psychometrics” and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement.

About the authors

Dr. Alina A. von Davier is a Strategic Advisor and a Director of Special Projects in Research and Development at Educational Testing Service (ETS). During her tenure at ETS, she has led an ETS Research Initiative called “Equating and Applied Psychometrics” and has directed the Global Psychometric Services Center. The center supports the psychometric work for all ETS international programs, including TOEFL iBT and TOEIC. She is a co-author of a book on the kernel method of test equating, an author of a book on hypotheses testing in regression models, and a guest co-editor for a special issue on population invariance of linking functions for the journal Applied Psychological Measurement.

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)

Table of contents (20 chapters)

  • A Statistical Perspective on Equating Test Scores

    Davier, Alina A.

    Pages 1-17

  • Equating Test Scores: Toward Best Practices

    Dorans, Neil J. (et al.)

    Pages 21-42

  • Scoring and Scaling Educational Tests

    Kolen, Michael J. (et al.)

    Pages 43-58

  • Statistical Models for Vertical Linking

    Carlson, James E.

    Pages 59-70

  • An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests

    McArdle, John J. (et al.)

    Pages 71-88

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-98138-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-0-387-98137-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4614-2710-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Models for Test Equating, Scaling, and Linking
Editors
  • Alina von Davier
Series Title
Statistics for Social and Behavioral Sciences
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-0-387-98138-3
DOI
10.1007/978-0-387-98138-3
Hardcover ISBN
978-0-387-98137-6
Softcover ISBN
978-1-4614-2710-0
Series ISSN
2199-7357
Edition Number
1
Number of Pages
XX, 368
Topics