Applying Test Equating Methods
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Applying Test Equating Methods
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Author : Jorge González
language : en
Publisher: Springer
Release Date : 2017-03-06
Applying Test Equating Methods written by Jorge González and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-06 with Education categories.
This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used to practically illustrate the different methods, while simulated and real data sets illustrate how the methods are conducted with the program R. The book covers traditional equating methods including, mean and linear equating, frequency estimation equating and chain equating, as well as modern equating methods such as kernel equating, local equating and combinations of these. It also offers chapters on observed and true score item response theory equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating functions. It also illustrates how to evaluate equating in practice using simulation and different equating specific measures such as the standard error of equating, percent relative error, different that matters and others.
Test Equating Scaling And Linking
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Author : Michael J. Kolen
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-08-25
Test Equating Scaling And Linking written by Michael J. Kolen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-25 with Education categories.
By providing an introduction to test equating which both discusses the most frequently used equating methodologies and covering many of the practical issues involved, this volume expands upon the coverage of the first edition by providing a new chapter on test scaling and a second on test linking.
The Kernel Method Of Test Equating
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Author : Alina A. von Davier
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-10
The Kernel Method Of Test Equating written by Alina A. von Davier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-10 with Business & Economics categories.
KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. It will be an important reference for several groups: (a) Statisticians (b) Practitioners and (c) Instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra.
Test Equating
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Author : Michael J. Kolen
language : en
Publisher: Springer Science & Business Media
Release Date : 1995
Test Equating written by Michael J. Kolen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Education categories.
Many researchers in the psychology and statistical communities have paid increasing attention to test equating as issues of using multiple test forms have arisen and in response to criticisms of traditional testing techniques. This text provides a practically-oriented introduction to test equating, covering discussions of the most frequently used equating methodologies and many of the practical issues involved. The main themes covered bu the book are: the purposes and assumptions of equating; classical equating methods; item response theory equating methods; standard errors of equating; and practical issues in equating.
Smoothing And Equating Methods Applied To Different Types Of Test Score Distributions And Evaluated With Respect To Multiple Equating Criteria Research Report Ets Rr 11 20
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Author : Tim Moses
language : en
Publisher:
Release Date : 2011
Smoothing And Equating Methods Applied To Different Types Of Test Score Distributions And Evaluated With Respect To Multiple Equating Criteria Research Report Ets Rr 11 20 written by Tim Moses and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
In equating research and practice, equating functions that are smooth are typically assumed to be more accurate than equating functions with irregularities. This assumption presumes that population test score distributions are relatively smooth. In this study, two examples were used to reconsider common beliefs about smoothing and equating. The first example involves a relatively smooth population test score distribution and the second example involves a population test score distribution with systematic irregularities. Various smoothing and equating methods ("presmoothing", "equipercentile", "kernel", and "postsmoothing") were compared across the two examples with respect to how well the test score distributions were reflected in the equating functions, the smoothness of the equating functions, and the standard errors of equating. The smoothing and equating methods performed more similarly in the first example than in the second example. The results of the second example illustrate that when dealing with systematically irregular test score distributions, smoothing and equating methods can be used in different ways to satisfy different equating criteria. A Measure of Smoothness for Equating Functions is appended. (Contains 6 tables, 6 figures and 1 note.).
Statistical Models For Test Equating Scaling And Linking
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Author : Alina von Davier
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-10-19
Statistical Models For Test Equating Scaling And Linking written by Alina von Davier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-19 with Education categories.
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.
Statistical Models For Test Equating Scaling And Linking
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Author : Alina von Davier
language : en
Publisher: Springer
Release Date : 2011-03-04
Statistical Models For Test Equating Scaling And Linking written by Alina von Davier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-04 with Education categories.
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.
Linking And Aligning Scores And Scales
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Author : Neil J. Dorans
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-15
Linking And Aligning Scores And Scales written by Neil J. Dorans and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-15 with Social Science categories.
In this book, experts in statistics and psychometrics describe classes of linkages, the history of score linkings, data collection designs, and methods used to achieve sound score linkages. They describe and critically discuss applications to a variety of domains. They define what linking is, to distinguish among the varieties of linking and to describe different procedure for linking. Furthermore, they convey the complexity and diversity of linking by covering different areas of linking and providing diverse perspectives.
Test Equating
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Author : Paul W. Holland
language : en
Publisher:
Release Date : 1982
Test Equating written by Paul W. Holland and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Education categories.
The chapters in this book give a detailed and thorough discussion of test equating from many different points of view. It should be a valuable reference on test equating for a broad audience interested in many aspects of tests and testing -- educational researcher, psychologists, educators, legislators, and others interested in the technical consequences of educational policies.
An Investigation Of Subtest Score Equating Methods Under Classical Test Theory And Item Response Theory Frameworks
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Author : MinJeong Shin
language : en
Publisher:
Release Date : 2015
An Investigation Of Subtest Score Equating Methods Under Classical Test Theory And Item Response Theory Frameworks written by MinJeong Shin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Test scores are usually equated only at the total score level. If a test mainly measures a single trait, indicating that the test is essentially unidimensional, equating at the total score level could be the best choice. However, when a test is composed of subtests having negligible relationships among them, separate equating for each subtest offers the best choice. Given a moderate amount of correlations among the subtests, performing individual equating for each subtest may be misleading in that it ignores the relationship of the subtests. This study applied and compared several possible subtest score equating methods based on classical test theory and item response theory examining some important factors including correlations among dimensions, different proficiency distributions with skewness or mean shifts, and the number of items and common items. Based on the methods from a classical test theory perspective, the results showed that when the correlations among dimensions were high, using either the total or anchor total score as the anchor could produce better equating results than using the anchor score from each subtest. Among the different input scores for equating - observed scores, weighted averages, and augmented scores - using augmented scores yielded slightly less equating error than the other two methods. Under the item response theory framework, concurrent calibration and separate calibration as well as unidimensional IRT equating and the unidimensional approximation method using multidimensional IRT parameters were applied. The unidimensional approximation method did not perform well compared to unidimensional IRT methods. The proficiency distribution with relatively high skewness or mean shifts yielded the largest equating errors compared to other distributions. Further study is recommended: using more complex models, rather than a simple structure model, to simulate item responses, as well as using direct multidimensional IRT equating rather than the two steps of the unidimensional approximation method and unidimensional IRT equating.