Test Equating, Scaling, and Linking, Michael J. Kolen; Robert L. Brennan

Автор: Alina A. von A. von Davier
Название: Statistical Models for Test Equating, Scaling, and Linking
ISBN: 146142710X ISBN-13(EAN): 9781461427100
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book emphasizes formal statistical features of the practice of equating and scaling, discusses the quality of the equating results from the statistical perspective as opposed to focusing on policy and implications, which represent a different side.

Автор: Kolen, Michael J. Brennan, Robert L.
Название: Test equating, scaling, and linking
ISBN: 1493903160 ISBN-13(EAN): 9781493903160
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Fully revised for a third edition, this highly regarded guide to the methodology of data collection and synthesis of exam scores explains the process of equalizing, scaling, and moderating results, and how best to design, administer, and mark standard tests.

Автор: Alina A. von Davier; Paul W. Holland; Dorothy T. T
Название: The Kernel Method of Test Equating
ISBN: 1475780982 ISBN-13(EAN): 9781475780987
Издательство: Springer
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Цена: 13974.00 р.
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Описание: KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra.

Автор: Xiufeng Liu
Название: Linking Competence to Opportunities to Learn
ISBN: 9048182212 ISBN-13(EAN): 9789048182213
Издательство: Springer
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Цена: 18167.00 р.
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Описание: For many people, a high standard for student learning is desirable. This book, Linking Competence to Opportunities to Learn: Models of Competence and data mining, provides me an opportunity to examine standards from a different perspective: opportunity to learn.

Автор: Neil J. Dorans; Mary Pommerich; Paul W. Holland
Название: Linking and Aligning Scores and Scales
ISBN: 144192387X ISBN-13(EAN): 9781441923875
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this book, experts in statistics and psychometrics describe classes of linkages, the history of score linkings, data collection designs, and methods used to achieve sound score linkages. They describe and critically discuss applications to a variety of domains.

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: Bolanowski
Название: Ratio Scaling of Psychological Magnitude
ISBN: 1138984507 ISBN-13(EAN): 9781138984509
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Описание: Presenting the proceedings of a conference held at Syracuse University in honor of S.S. Stevens, a pioneer in the scaling of sensory magnitudes and the originator of the method of magnitude estimation, this volume brings together the work of 20 authorities on the procedures of ratio scaling. These experts--psychophysicists, physiologists, and theoreticians--offer their views on whether or not psychological magnitudes can be measured and whether the judgments of psychological magnitudes constitute the basis for the construction of a ratio scale. Also discussed is the question of whether any single method could stand out as a potential standard technique for measuring psychological magnitudes.

Автор: David Carless; Susan Bridges; Cecilia Chan; Rick G
Название: Scaling up Assessment for Learning in Higher Education
ISBN: 981103043X ISBN-13(EAN): 9789811030437
Издательство: Springer
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Цена: 16769.00 р.
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Описание: A critical issue in higher education is the effective implementation of assessment with the core purpose of promoting productive student learning.

Автор: Hancock & Mueller
Название: Structural Equation Modeling, 2Nd Ed
ISBN: 1623962447 ISBN-13(EAN): 9781623962449
Издательство: Mare Nostrum (Eurospan)
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Цена: 7623.00 р.
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Описание: Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians<br><br> This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.

Автор: Hancock & Mueller
Название: Structural Equation Modeling, 2Nd Ed
ISBN: 1623962455 ISBN-13(EAN): 9781623962456
Издательство: Mare Nostrum (Eurospan)
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Цена: 14137.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians<br><br> This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.