A Course in Rasch Measurement Theory, David Andrich; Ida Marais
Автор: Strobl Название: The Rasch Model ISBN: 1138710466 ISBN-13(EAN): 9781138710467 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Myint Swe Khine Название: Rasch Measurement ISBN: 9811517991 ISBN-13(EAN): 9789811517990 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Eckes, Thomas Название: Introduction to many-facet rasch measurement ISBN: 3631656157 ISBN-13(EAN): 9783631656150 Издательство: Peter Lang Рейтинг: Цена: 9971.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Bond, Trevor G. , Yan, Zi , Heene, Moritz Название: Applying the Rasch Model ISBN: 0367141418 ISBN-13(EAN): 9780367141417 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 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.
Автор: Matthias von Davier; Claus H. Carstensen Название: Multivariate and Mixture Distribution Rasch Models ISBN: 1441921966 ISBN-13(EAN): 9781441921963 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 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.
Автор: Gerhard H. Fischer; Ivo W. Molenaar Название: Rasch Models ISBN: 1461287049 ISBN-13(EAN): 9781461287049 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Bond Название: Applying The Rasch Model ISBN: 0805854622 ISBN-13(EAN): 9780805854626 Издательство: Taylor&Francis Рейтинг: Цена: 780.00 р. Наличие на складе: Нет в наличии.
Описание: Reviews the crucial properties of the Rasch model and demonstrates its use with a range of examples including the measurement of educational achievement, human development, attitudes, and medical rehabilitation. This book demonstrates how to apply Rasch analysis and prepares readers to perform their own analyses and interpret the results.
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.
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.
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