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The Kernel Method Of Test Equating


The Kernel Method Of Test Equating
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The Kernel Method Of Test Equating


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.



A Comparison Of Kernel Equating And Irt True Score Equating Methods


A Comparison Of Kernel Equating And Irt True Score Equating Methods
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Author :
language : en
Publisher:
Release Date : 2007

A Comparison Of Kernel Equating And Irt True Score Equating Methods written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Educational tests and measurements categories.


"This two-part study investigates 1) the impact of loglinear model selection in pre-smoothing observed score distributions on the kernel method of test equating and 2) the differences between kernel equating, chained equipercentile equating, and true score methods of concurrent calibration and Stocking and Lord's transformation method. Data were simulated to emulate realistic situations in which test difficulty differed, sample sizes varied, anchor test lengths were of varying lengths, and test lengths ranged from 20 items to 100 items. Difficulty of anchor tests were held constant. Because data were simulated in a single group (SG) format, traditional unsmoothed equipercentile equating was used as a criterion by which all other methods, which use the non-equivalent groups with an anchor test design (NEAT), were compared. Data were simulated using IceDog (ETS, 2007) and analyzed using KE software (ETS, 2007), MULTILOG (Thissen, 2003), IceDog (ETS, 2007), PARSCALE (Muraki & Bock, 2003) and Fortran programming code developed by the author. Results indicate the impact of equating technique chosen on examinees' test scores in a variety of realistic situations, and have further recommendations for further study."--Abstract from author supplied metadata.



Applying Test Equating Methods


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.



Using The Kernel Method Of Test Equating For Estimating The Standard Errors Of Population Invariance Measures


Using The Kernel Method Of Test Equating For Estimating The Standard Errors Of Population Invariance Measures
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Author : Tim Moses
language : en
Publisher:
Release Date : 2006

Using The Kernel Method Of Test Equating For Estimating The Standard Errors Of Population Invariance Measures 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 2006 with categories.




An Evaluation Of The Kernel Equating Method


An Evaluation Of The Kernel Equating Method
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Author : Alina A. von Davier
language : en
Publisher:
Release Date : 2006

An Evaluation Of The Kernel Equating Method written by Alina A. von Davier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.




Statistical Models For Test Equating Scaling And Linking


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.



The Kernel Method Of Equating Score Distributions


The Kernel Method Of Equating Score Distributions
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Author : Paul W. Holland
language : en
Publisher:
Release Date : 1989

The Kernel Method Of Equating Score Distributions 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 1989 with Educational tests and measurements categories.




A Comparison Of Kernel Equating To The Test Characteristic Curve Method


A Comparison Of Kernel Equating To The Test Characteristic Curve Method
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Author : Rebecca L. Norman Dvorak
language : en
Publisher:
Release Date : 2009

A Comparison Of Kernel Equating To The Test Characteristic Curve Method written by Rebecca L. Norman Dvorak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Educational tests and measurements categories.




Test Equating Scaling And Linking


Test Equating Scaling And Linking
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Author : Michael J. Kolen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14

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 2013-03-14 with Social Science 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.



An Evaluation Of Kernel Equating


An Evaluation Of Kernel Equating
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Author : Mary C. Grant
language : en
Publisher:
Release Date : 2009

An Evaluation Of Kernel Equating written by Mary C. Grant and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.


This study investigated kernel equating methods by comparing these methods to operational equatings for two tests in the SAT Subject Tests[TM] program. GENASYS (ETS, 2007) was used for all equating methods and scaled score kernel equating results were compared to Tucker, Levine observed score, chained linear, and chained equipercentile equating results. The results of the kernel chained equatings using a large fixed bandwidth were nearly identical to the results from the chained linear equatings whereas the comparisons of the kernel poststratification equatings using a large bandwidth showed differences from both Tucker and Levine observed score equating results, although for most of the score range those differences were small. Similarly, the differences were small for most of the score range in the comparisons of kernel poststratification equatings and kernel chained equatings using the optimal bandwidth with chained equipercentile equatings. (Contains 5 tables and 14 figures.).