Advanced methods in automatic item generation, Gierl, Mark J. (university Of Alberta, Canada) Lai, Hollis Tanygin, Vasily
Автор: Gierl Название: Automatic Item Generation ISBN: 0415897505 ISBN-13(EAN): 9780415897501 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on Automatic Item Generation by organizing in one volume what is currently known about this research area.
Автор: Gierl Mark J Название: Automatic Item Generation ISBN: 0415897513 ISBN-13(EAN): 9780415897518 Издательство: Taylor&Francis Рейтинг: Цена: 10717.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on Automatic Item Generation by organizing in one volume what is currently known about this research area.
Название: Handbook of Item Response Theory ISBN: 0367221047 ISBN-13(EAN): 9780367221041 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second volume discusses classical and modern statistical tools used in IRT. The book outlines common probibilty distributions, issues with both intentional and nuisance parameters, information criteria, dealing with missing data identification issues. We also cover approaches like the Bayesian approach.
Автор: Reise Название: Handbook of Item Response Theory Modeling ISBN: 1848729723 ISBN-13(EAN): 9781848729728 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain.
The book addresses:
IRT models applied to non-educational data especially patient reported outcomes
Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling.
The application of multidimensional IRT models designed to capture typical performance data.
Cutting-edge methods for deriving a single latent dimension from multidimensional data
A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse
Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes
How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change.
Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking.
Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed.
Автор: Irvine Sidney H., Kyllonen Patrick C. Название: Item Generation for Test Development ISBN: 1138973475 ISBN-13(EAN): 9781138973473 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The major thrust of test development in the next decade will be the harnessing of item generation technology to the production of computer developed tests. This book is a compilation of papers about this presented at the ETS sympoisum in November 1998.
Автор: Baker Frank B., Kim Seock-Ho Название: The Basics of Item Response Theory Using R ISBN: 3319853430 ISBN-13(EAN): 9783319853437 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory.
Автор: Carlson, James Название: Introduction to Item Response Theory Models and Applications ISBN: 0367471019 ISBN-13(EAN): 9780367471019 Издательство: Taylor&Francis Рейтинг: Цена: 9645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to obtain a solid grounding in IRT.
Автор: Carlson, James Название: Introduction to Item Response Theory Models and Applications ISBN: 0367476924 ISBN-13(EAN): 9780367476922 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to obtain a solid grounding in IRT.
Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain.
The book addresses:
IRT models applied to non-educational data especially patient reported outcomes
Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling.
The application of multidimensional IRT models designed to capture typical performance data.
Cutting-edge methods for deriving a single latent dimension from multidimensional data
A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse
Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes
How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change.
Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking.
Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed.
Описание: Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "The Effect of Multidimensionality on Unidimensional Equating With Item Response Theory" by Patricia Duffy Spence, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.
Автор: Baker, Frank B. Kim, Seock-ho Название: Basics of item response theory using r ISBN: 3319542044 ISBN-13(EAN): 9783319542041 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory.
Название: Handbook of Item Response Theory ISBN: 0367220016 ISBN-13(EAN): 9780367220013 Издательство: Taylor&Francis Рейтинг: Цена: 11023.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on the work of internationally acclaimed experts in the field, this first volume in a three-volume set presents all major item response models and covers many model developments that have occurred in the field. We describe models for different response formats or response processes.
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