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Linear Models for Optimal Test Design, Wim J. van der Linden


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Цена: 21661.00р.
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Автор: Wim J. van der Linden
Название:  Linear Models for Optimal Test Design
ISBN: 9781441919038
Издательство: Springer
Классификация:



ISBN-10: 1441919031
Обложка/Формат: Paperback
Страницы: 416
Вес: 0.66 кг.
Дата издания: 2005
Серия: Statistics for Social and Behavioral Sciences
Язык: English
Издание: Softcover reprint of
Иллюстрации: 44 black & white illustrations, biography
Размер: 234 x 156 x 23
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Over my nearly forty years of teaching and conducting research in the ?eld of psychometric methods, I have seen a number of major technical advances that respond to pressing educational and psychological measu- mentproblems. Thedevelopmentofcriterion-referencedassessmentwasthe ?rst, beginning in the late 1960s with the important work of Robert Glaser and Jim Popham, in response to the need for assessments that considered candidate performance in relation to a well-de?ned body of knowledge and skills rather than in relation to a norm group. The development of criterion-referenced testing methodology with a focus on decision-theoretic concepts and methods, content validity, standard-setting, and the recog- tionofthemeritsofbothcriterion-norm-referencedandcriterion-referenced assessments has tremendously in?uenced current test theory and testing . The second major advance was the introduction of item response-theory (IRT) and associated models and their applications to replace classical test theory (CTT) and related practices. Beginning slowly in the 1940s and 1950s with the pioneering work of Frederic Lord, Allan Birnbaum, and GeorgRasch, bythe1970sthemeasurementjournalswerefullofimportant research studies describing new IRT models, technical advances in model parameter estimation and model ?t, and research on applications of IRT models to equating, test development, the detection of potentially biased test items, and adaptive testing. The overall goal has been to improve and expand measurement practices by overcoming several shortcomings of cl- sicaltesttheory: dependenceoftest-itemstatisticsandreliabilityestimates on examinee samples, dependence of examinee true score estimates on the particular choices of test items, and the limitation in CTT of modeling ex- viii Foreword aminee performance at the test level rather than at the item leve


Optimal Design and Related Areas in Optimization and Statistics

Автор: Luc Pronzato; Anatoly Zhigljavsky
Название: Optimal Design and Related Areas in Optimization and Statistics
ISBN: 1441927328 ISBN-13(EAN): 9781441927323
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Dedicated to Henry P. Wynn, this edited volume reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. Chapters survey the existing literature and contain new material.

Optimal Design through the Sub-Relaxation Method

Автор: Pedregal
Название: Optimal Design through the Sub-Relaxation Method
ISBN: 3319411586 ISBN-13(EAN): 9783319411583
Издательство: Springer
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Цена: 10760.00 р.
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Описание: This book provides a comprehensive guide to analyzing and solving optimal design problems in continuous media by means of the so-called sub-relaxation method. Though the underlying ideas are borrowed from other, more classical approaches, here they are used and organized in a novel way, yielding a distinct perspective on how to approach this kind of optimization problems. Starting with a discussion of the background motivation, the book broadly explains the sub-relaxation method in general terms, helping readers to grasp, from the very beginning, the driving idea and where the text is heading. In addition to the analytical content of the method, it examines practical issues like optimality and numerical approximation. Though the primary focus is on the development of the method for the conductivity context, the book’s final two chapters explore several extensions of the method to other problems, as well as formal proofs. The text can be used for a graduate course in optimal design, even if the method would require some familiarity with the main analytical issues associated with this type of problems. This can be addressed with the help of the provided bibliography.


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