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Rasch Measurement, Myint Swe Khine


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Автор: Myint Swe Khine
Название:  Rasch Measurement
ISBN: 9789811517990
Издательство: Springer
Классификация:





ISBN-10: 9811517991
Обложка/Формат: Hardcover
Страницы: 281
Вес: 0.61 кг.
Дата издания: 2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 31 illustrations, color; 48 illustrations, black and white; xiii, 281 p. 79 illus., 31 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Education
Подзаголовок: Applications in Quantitative Educational Research
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book focuses on the use of the Rasch measurement model in validation studies and in analyzing the psychometric properties of a variety of test instruments, questionnaires, and scales in international contexts. It broadly examines the development and application of Rasch modeling, providing in-depth analyses of the properties of various scales used in the fields of education, and humanities and social sciences research.
The book includes exemplary works on educational research and practices that highlight recent and innovative applications, as well as theoretical and practical aspects of Rasch modeling. Readers will find it helpful to understand the latest approaches to Rasch measurement in educational research, as well as practices for future studies and quantitative research.
This book provides a diverse set of perspectives on Rasch models from scholars across the globe. The volume is both theoretical and applied. The first section of the book provides an overview of Rasch modeling and explains the theoretical and conceptual framework underlying the Rasch model. The remainder of the book highlights multiple applications of the Rasch model within educational assessment as well as several examples of how Rasch modeling can be used for validation studies. This volume showcases the wide variety of ways in which Rasch modeling can be applied to assessment data to provide insights into students’ achievement and learning and to improve instruction.–Betsy McCoach, University of Connecticut, USA.
A well-written collection of articles. Grouped by the theoretical and applied aspects of Rasch measurement, each chapter in this edited volume makes notable contributions to knowledge and practice. Written by leading scholars in the field, these chapters were written in a clear, succinct, and assertive manner, providing readers with up-to-date information, analyses, and debates. This book should be found in the core collection of emerging researchers and established scholars in educational measurement.–Timothy Teo, Murdoch University, Australia.

Дополнительное описание: Part 1: Theoretical and Conceptual Frameworks.- 1 Objective Measurement in Psychometric Analysis.- 2 Rasch Basics for the Novice.- 3 Applying the Rasch Rating Scale Method to Questionnaire Data.- 4 Objective Measurement: How Rasch Modeling can Simplify an



The Rasch Model

Автор: Strobl
Название: The Rasch Model
ISBN: 1138710466 ISBN-13(EAN): 9781138710467
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: This book provides a concise introduction to the topic of the Rasch model, which has become relatively well-known since it was used in the PISA study. In addition to a clear presentation of the underlying theory, the book also offers a practical introduction to fitting Rasch models by means of the freely available statistical software R.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Applying the Rasch Model in Social Sciences Using R

Автор: Lamprianou, Iasonas
Название: Applying the Rasch Model in Social Sciences Using R
ISBN: 1138500771 ISBN-13(EAN): 9781138500778
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: This book provides a step-by-step beginner`s guide to using the Rasch Model in R, with each chapter devoted to one popular Rasch Model and ranging from least to most complex.

Introduction to many-facet rasch measurement

Автор: Eckes, Thomas
Название: Introduction to many-facet rasch measurement
ISBN: 3631656157 ISBN-13(EAN): 9783631656150
Издательство: Peter Lang
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Цена: 9971.00 р.
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Описание: Since the early days of performance assessment, human ratings have been subject to various forms of error and bias. Expert raters often come up with different ratings for the very same performance and it seems that assessment outcomes largely depend upon which raters happen to assign the rating. This book provides an introduction to many-facet Rasch measurement (MFRM), a psychometric approach that establishes a coherent framework for drawing reliable, valid, and fair inferences from rater-mediated assessments, thus answering the problem of fallible human ratings. Revised and updated throughout, the Second Edition includes a stronger focus on the Facets computer program, emphasizing the pivotal role that MFRM plays for validating the interpretations and uses of assessment outcomes.

A Course in Rasch Measurement Theory

Автор: David Andrich; Ida Marais
Название: A Course in Rasch Measurement Theory
ISBN: 9811374953 ISBN-13(EAN): 9789811374951
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs.

Rasch Analysis in the Human Sciences

Автор: William J. Boone; John R. Staver; Melissa S. Yale
Название: Rasch Analysis in the Human Sciences
ISBN: 9401778442 ISBN-13(EAN): 9789401778442
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book offers an introduction to Rasch measurement. Each chapter walks the reader through a key topic that can be used for the analysis of science education data, for the authoring of publications, for presentations, and for the development of grants.

Rasch Analysis in the Human Sciences

Автор: William J. Boone; John R. Staver; Melissa S. Yale
Название: Rasch Analysis in the Human Sciences
ISBN: 9400768567 ISBN-13(EAN): 9789400768567
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers an introduction to Rasch measurement. Each chapter walks the reader through a key topic that can be used for the analysis of science education data, for the authoring of publications, for presentations, and for the development of grants.

Applying the Rasch Model

Автор: Bond, Trevor G. , Yan, Zi , Heene, Moritz
Название: Applying the Rasch Model
ISBN: 0367141418 ISBN-13(EAN): 9780367141417
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание: Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences.

Applying the Rasch Model

Автор: Bond, Trevor , Yan, Zi , Heene, Moritz
Название: Applying the Rasch Model
ISBN: 0367141426 ISBN-13(EAN): 9780367141424
Издательство: Taylor&Francis
Рейтинг:
Цена: 7501.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences.

Multivariate and Mixture Distribution Rasch Models

Автор: Matthias von Davier; Claus H. Carstensen
Название: Multivariate and Mixture Distribution Rasch Models
ISBN: 1441921966 ISBN-13(EAN): 9781441921963
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science. They cover topics ranging from general model extensions to applications in fields as diverse as cognition, personality, organizational and sports psychology, and health sciences and education.

Rasch Models

Автор: Gerhard H. Fischer; Ivo W. Molenaar
Название: Rasch Models
ISBN: 1461287049 ISBN-13(EAN): 9781461287049
Издательство: Springer
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Цена: 25853.00 р.
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Описание: Thirty-two years after the publication of the legendary `Rasch book` (Rasch, 1960), the rich literature on the Rasch model and its extensions was scattered in journals and many less accessible sources, including `grey` literature.

Applying the Rasch Model in Social Sciences Using R

Автор: Iasonas Lamprianou
Название: Applying the Rasch Model in Social Sciences Using R
ISBN: 113850078X ISBN-13(EAN): 9781138500785
Издательство: Taylor&Francis
Рейтинг:
Цена: 7348.00 р.
Наличие на складе: Поставка под заказ.

Описание:

This unique text provides a step-by-step beginner's guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex.

Through a freely available and user-friendly package, BlueSky Statistics, Lamprianou offers a range of options for presenting results, critically examines the strengths and weaknesses of applying the Rasch model in each instance, and suggests more effective methodologies where applicable. With a focus on simple software code which does not assume extensive mathematical knowledge, the reader is initially introduced to the so-called simple Rasch Model to construct a "political activism" variable out of a group of dichotomously scored questions. In subsequent chapters, the book covers everything from the Rating Scale to the Many-facets Rasch model. The final chapter even showcases a complete mock manuscript, demonstrating how a Rasch-based paper on the identification of online hate speech should look like.

Combining theoretical rigor and real-world examples with empirical datasets from published papers, this book is essential reading for students and researchers alike who aspire to use Rasch models in their research.


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