Multidimensional Item Response Theory, M.D. Reckase

Автор: Jean-Paul Fox
Название: Bayesian Item Response Modeling
ISBN: 1461426065 ISBN-13(EAN): 9781461426066
Издательство: Springer
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Цена: 16769.00 р.
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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: I. Borg; P. J. F. Groenen
Название: Modern Multidimensional Scaling
ISBN: 1441920463 ISBN-13(EAN): 9781441920461
Издательство: Springer
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Цена: 24456.00 р.
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Описание: The first edition was released in 1996 and has sold close to 2200 copies. Provides an up-to-date comprehensive treatment of MDS, a statistical technique used to analyze the structure of similarity or dissimilarity data in multidimensional space. The authors have added three chapters and exercise sets.

Автор: Sijtsma K & Molenaar I
Название: Introduction to Nonparametric Item Response Theory: Volume 5
ISBN: 0761908137 ISBN-13(EAN): 9780761908135
Издательство: Sage Publications
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Описание: This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means.