Alina Von Davier's Books

Generalized Kernel Equating with Applications in R

By: Marie Wiberg,Jorge Gonzalez,Alina A. von Davier

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Generalized Kernel Equating with Applications in R

By: Marie Wiberg,Jorge Gonzalez,Alina A. von Davier

Generalized Kernel Equating is a comprehensive guide for statisticians, psychometricians, and educational researchers aiming to master test score equating. This book introduces the Generalized Kernel Equating (GKE) framework, providing the necessary tools and methodologies for accurate and fair score comparisons. The book presents test score equating as a statistical problem and covers all commonly used data collection designs. It details the five steps of the GKE framework: presmoothing, estimating score probabilities, continuization, equating transformation, and evaluating the equating transformation. Various presmoothing strategies are explored, including log-linear models, item response theory models, beta4 models, and discrete kernel estimators. The estimation of score probabilities when using IRT models is described and Gaussian kernel continuization is extended to other kernels such as uniform, logistic, epanechnikov and adaptive kernels. Several bandwidth selection methods are described. The kernel equating transformation and variants of it are defined, and both equating-specific and statistical measures for evaluating equating transformations are included. Real data examples, guiding readers through the GKE steps with detailed R code and explanations are provided. Readers are equipped with an advanced knowledge and practical skills for implementing test score equating methods.

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Page Count

349

Publisher

CRC Press

Published Date

ISBN 10

1315283751

ISBN 13

9781315283753

The Kernel Method of Test Equating

By: Alina A. von Davier,Paul W. Holland,Dorothy T. Thayer

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The Kernel Method of Test Equating

By: Alina A. von Davier,Paul W. Holland,Dorothy T. Thayer

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.

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Page Count

244

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387217193

ISBN 13

9780387217192

Computerized Adaptive and Multistage Testing with R

Using Packages catR and mstR

By: David Magis,Duanli Yan,Alina A. von Davier

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Computerized Adaptive and Multistage Testing with R

Using Packages catR and mstR

By: David Magis,Duanli Yan,Alina A. von Davier

The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.

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Page Count

183

Publisher

Springer

Published Date

ISBN 10

3319692186

ISBN 13

9783319692180

Computerized Adaptive and Multistage Testing with R

Using Packages catR and mstR

By: David Magis,Duanli Yan,Alina A. von Davier

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Computerized Adaptive and Multistage Testing with R

Using Packages catR and mstR

By: David Magis,Duanli Yan,Alina A. von Davier

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183

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Springer

Published Date

ISBN 10

3319692186

ISBN 13

9783319692180

Statistical Models for Test Equating, Scaling, and Linking

By: Alina von Davier

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Statistical Models for Test Equating, Scaling, and Linking

By: Alina von Davier

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.

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Page Count

368

Publisher

Springer

Published Date

ISBN 10

0387981373

ISBN 13

9780387981376

The Kernel Method of Test Equating

By: Alina A. von Davier,Paul W. Holland,Dorothy T. Thayer

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The Kernel Method of Test Equating

By: Alina A. von Davier,Paul W. Holland,Dorothy T. Thayer

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Page Count

244

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Springer Science & Business Media

Published Date

ISBN 10

0387217193

ISBN 13

9780387217192

Psychometric Considerations in Game-Based Assessment

By: Robert J. Mislevy,Andreas Oranje,Malcolm I. Bauer,Alina Von Davier,Jiangang Hao

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Psychometric Considerations in Game-Based Assessment

By: Robert J. Mislevy,Andreas Oranje,Malcolm I. Bauer,Alina Von Davier,Jiangang Hao

Intended as a resource for game developers, learning designers, and assessment experts, “Psychometric Considerations in Game-based Assessment” presents findings from efforts to build and test a new type of classroom tool – game-based assessments. This book explores the opportunities and challenges for psychometricians and measurement experts in using gameplay data to assess student learning, and proposes a design approach that links the process of game design with the process of assessment design.

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Page Count

160

Publisher

CreateSpace

Published Date

ISBN 10

1495440834

ISBN 13

9781495440830

Generalized Kernel Equating with Applications in R

By: Marie Wiberg,Jorge Gonzalez,Alina A. von Davier

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Generalized Kernel Equating with Applications in R

By: Marie Wiberg,Jorge Gonzalez,Alina A. von Davier

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Solve jigsaw puzzle

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Page Count

349

Publisher

CRC Press

Published Date

ISBN 10

1315283751

ISBN 13

9781315283753

Book's by Alina Von Davier

Generalized Kernel Equating with Applications in R

Generalized Kernel Equating with Applications in R

The Kernel Method of Test Equating

The Kernel Method of Test Equating

Computerized Adaptive and Multistage Testing with R

Computerized Adaptive and Multistage Testing with R

Computerized Adaptive and Multistage Testing with R

Computerized Adaptive and Multistage Testing with R

Statistical Models for Test Equating, Scaling, and Linking

Statistical Models for Test Equating, Scaling, and Linking

The Kernel Method of Test Equating

The Kernel Method of Test Equating

Psychometric Considerations in Game-Based Assessment

Psychometric Considerations in Game-Based Assessment

Generalized Kernel Equating with Applications in R

Generalized Kernel Equating with Applications in R

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