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Model Selection For Irt Equating Of Testlet Based Tests In The Random Groups Design


Model Selection For Irt Equating Of Testlet Based Tests In The Random Groups Design
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Model Selection For Irt Equating Of Testlet Based Tests In The Random Groups Design


Model Selection For Irt Equating Of Testlet Based Tests In The Random Groups Design
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Author : Juan Chen
language : en
Publisher:
Release Date : 2014

Model Selection For Irt Equating Of Testlet Based Tests In The Random Groups Design written by Juan Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Educational tests and measurements categories.


The traditional equipercentile equating method was used as the baseline for comparison in both real data and simulated data analyses. It was found in the study that both testlet length and the LID level affected the performance of the investigated models on IRT true and observed score equating of testlet-based tests. When the traditional 3PL IRT model was used for tests with long testlets, higher levels of local item dependence led to IRT equating results that deviated further away from those obtained from the baseline method. However, the effect of local item dependence on IRT equating results was not prominent for tests with short testlets. Moreover, for tests consisting of long testlets (e.g., a testlet length of 10 or more) and having a very low level of local item dependence (e.g., a LID level of 0.25 or lower), and for tests consisting of short testlets (e.g., a testlet length around 5), all four investigated IRT models worked well in IRT true and observed score equating. For tests with long testlets and a relatively high level of local item dependence (e.g., a LID level of 0.5625 or higher), the GRM, bifactor, and TRT models outperformed the traditional 3PL IRT model in IRT true and observed equating of testlet-based tests. The study suggested that the selection of models for IRT true and observed score equating of testlet-based tests should be considered with respect to the features of the testlet-based tests and the groups of examinees from which the data is collected. It is hoped that this study encourages researchers to identify differences among existing models for IRT true and observed score equating of testlet-based tests with various features, and to develop new models that are appropriate for modeling testlet-based tests to obtain accurate IRT number correct score equating results.



Model Selection For Equating Testlet Based Tests In The Neat Design


Model Selection For Equating Testlet Based Tests In The Neat Design
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Author : Wei He
language : en
Publisher:
Release Date : 2012

Model Selection For Equating Testlet Based Tests In The Neat Design written by Wei He and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.


For those tests solely composed of testlets, local item independency assumption tends to be violated. This study, by using empirical data from a large-scale state assessment program, was interested in investigates the effects of using different models on equating results under the non-equivalent group anchor-test (NEAT) design. Specifically, the primary purpose of this study was to apply the IRT true-score equating method to equating testlet-based tests using both testlet theory (TRT) model and bi-factor model. In addition, the equating results from using the TRT and bi-factor models were compared with those from using conventional dichotomous item response theory (IRT) models. The candidate models considered in this study included a series of conventional dichotomous IRT models, Testlet model, and bi-factor model. The results echoed with those in Lee et al. (2001) in that equating using models that can account for item dependency in general tend to yield closer equating relationship to the traditional equating methods than the conventional IRT models. Limitations and further studies were also discussed. (Contains 4 figures and 8 tables.).



Equating Using Unidimensional Dichotomous And Polytomous Irt Models For Testlet Based Tests Under Common Item Nonequivalent Groups Design


Equating Using Unidimensional Dichotomous And Polytomous Irt Models For Testlet Based Tests Under Common Item Nonequivalent Groups Design
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Author : Lidong Zhang
language : en
Publisher:
Release Date : 2013

Equating Using Unidimensional Dichotomous And Polytomous Irt Models For Testlet Based Tests Under Common Item Nonequivalent Groups Design written by Lidong Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.


The relative equating performance of the Graded Response Model (GRM) and the Generalized Partial Credit (GPC) model was compared with that of the two parameter logistic (2PL) model using simulated testlet data under a common-item nonequivalent groups design. Impacts of various levels of testlet effects, calibration procedures, group differences, number of common items, sample size were investigated. Three traditional linear equating methods were used as criteria for the IRT true score equating and IRT observed score equating results from the three item response theory models. In general, the equating performance based on the two polytomous models yielded results that were more compatible with the results of the traditional equating methods with the presence of testlet effects. Even in some conditions without testlet effects, the equating performance of the two polytomous models was more similar to that of the traditional methods than the dichotomous 2PL model, particularly when the number of common items was larger. Of the two polytomous models, the GRM was found to render results in more agreement with those of traditional linear methods in conditions of separate calibration with linking. The characteristic curve linking methods outperformed the moment methods in a majority of conditions. The separate calibration procedures were better than the concurrent calibration procedure in most of the conditions, especially when the number of common items was small.



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.



Test Equating


Test Equating
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Author : Michael J. Kolen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

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 2013-11-11 with Mathematics categories.


In recent years, 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 book provides a practically oriented introduction to test equating which both discusses the most frequently used equating methodologies and covers many of the practical issues involved. The main themes are: - the purpose of equating - distinguishing between equating and related methodologies - the importance of test equating to test development and quality control - the differences between equating properties, equating designs, and equating methods - equating error, and the underlying statistical assumptions for equating. The authors are acknowledged experts in the field, and the book is based on numerous courses and seminars they have presented. As a result, educators, psychometricians, professionals in measurement, statisticians, and students coming to the subject for the first time as part of their graduate study will find this an invaluable text and reference.



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 : 2014-01-13

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 2014-01-13 with Social Science categories.


This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * the purposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing reasonable and useful equating, scaling, and linking studies * importance of test development and quality control processes to equating * equating error, and the underlying statistical assumptions for equating



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.



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.



Advancing Human Assessment


Advancing Human Assessment
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Author : Randy E. Bennett
language : en
Publisher: Springer
Release Date : 2017-10-17

Advancing Human Assessment written by Randy E. Bennett and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-17 with Education categories.


This book is open access under a CC BY-NC 2.5 license.​​ This book describes the extensive contributions made toward the advancement of human assessment by scientists from one of the world’s leading research institutions, Educational Testing Service. The book’s four major sections detail research and development in measurement and statistics, education policy analysis and evaluation, scientific psychology, and validity. Many of the developments presented have become de-facto standards in educational and psychological measurement, including in item response theory (IRT), linking and equating, differential item functioning (DIF), and educational surveys like the National Assessment of Educational Progress (NAEP), the Programme of international Student Assessment (PISA), the Progress of International Reading Literacy Study (PIRLS) and the Trends in Mathematics and Science Study (TIMSS). In addition to its comprehensive coverage of contributions to the theory and methodology of educational and psychological measurement and statistics, the book gives significant attention to ETS work in cognitive, personality, developmental, and social psychology, and to education policy analysis and program evaluation. The chapter authors are long-standing experts who provide broad coverage and thoughtful insights that build upon decades of experience in research and best practices for measurement, evaluation, scientific psychology, and education policy analysis. Opening with a chapter on the genesis of ETS and closing with a synthesis of the enormously diverse set of contributions made over its 70-year history, the book is a useful resource for all interested in the improvement of human assessment.



Resources In Education


Resources In Education
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Author :
language : en
Publisher:
Release Date : 1997

Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Education categories.