Statistical Models for Test Equating, Scaling, and Linking

Nonfiction, Health & Well Being, Psychology, Testing & Measurement, Reference & Language, Education & Teaching, Educational Theory, Evaluation
Cover of the book Statistical Models for Test Equating, Scaling, and Linking by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780387981383
Publisher: Springer New York Publication: October 19, 2010
Imprint: Springer Language: English
Author:
ISBN: 9780387981383
Publisher: Springer New York
Publication: October 19, 2010
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Fisher, Neyman, and the Creation of Classical Statistics by
Cover of the book Plants and Habitats of European Cities by
Cover of the book SFPE Handbook of Fire Protection Engineering by
Cover of the book Ways of Knowing in HCI by
Cover of the book Phytochemicals, Signal Transduction, and Neurological Disorders by
Cover of the book Sensors: Theory, Algorithms, and Applications by
Cover of the book Information Systems Development by
Cover of the book Next Generation Sequencing Technologies and Challenges in Sequence Assembly by
Cover of the book Bladder Dysfunction in the Adult by
Cover of the book Ricci Flow for Shape Analysis and Surface Registration by
Cover of the book Multiple Perspectives on Problem Solving and Learning in the Digital Age by
Cover of the book Fundamentals of Electrocardiography by
Cover of the book Modeling and Optimization: Theory and Applications by
Cover of the book Alien Skies by
Cover of the book Elucidation of Abiotic Stress Signaling in Plants by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy