Introduction to Item Response Theory Models and Applications, Carlson, James
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.
Автор: Boeck Paul De Название: Explanatory Item Response Models ISBN: 1441923233 ISBN-13(EAN): 9781441923233 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models.
Автор: Paek Insu Название: Using R for Item Response Theory Model Applications ISBN: 1138542792 ISBN-13(EAN): 9781138542792 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces basic concepts of IRT and detailed information on how to use R IRT programs for IRT applications.
Автор: Paek, Insu , Cole, Ki Название: Using R for Item Response Theory Model Applications ISBN: 1138542784 ISBN-13(EAN): 9781138542785 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces basic concepts of IRT and detailed information on how to use R IRT programs for IRT applications.
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: Jean-Paul Fox Название: Bayesian Item Response Modeling ISBN: 1461426065 ISBN-13(EAN): 9781461426066 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering software implementations in S-plus and R, this volume serves as both a handbook for measurement specialists, as well as a textbook for students of the Bayesian approach to modern test theory. Software implementations are made available online for further instruction.
Автор: Wes Bonifay Название: Multidimensional Item Response Theory ISBN: 1506384250 ISBN-13(EAN): 9781506384252 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.
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: Wim J. van der Linden; Ronald K. Hambleton Название: Handbook of Modern Item Response Theory ISBN: 1441928499 ISBN-13(EAN): 9781441928498 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It is organized into six major sections: the nominal categories model, models for response time or multiple attempts on items, models for multiple abilities or cognitive components, nonparametric models, models for nonmonotone items, and models with special assumptions.
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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