书目名称 | Linear Models for Optimal Test Design | 编辑 | Wim J. Linden | 视频video | | 概述 | Can serve as a handbook for new developments to test specialists working at testing agencies as well as a text for students in classes on test theory, test construction, or applied statistics.Includes | 丛书名称 | Statistics for Social and Behavioral Sciences | 图书封面 |  | 描述 | 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,bythe1970sthemeasurementjournalswerefullofimpo | 出版日期 | Book 2005 | 关键词 | College; awareness; linear optimization; optimization; test theory | 版次 | 1 | doi | https://doi.org/10.1007/0-387-29054-0 | isbn_softcover | 978-1-4419-1903-8 | isbn_ebook | 978-0-387-29054-6Series ISSN 2199-7357 Series E-ISSN 2199-7365 | issn_series | 2199-7357 | copyright | Springer-Verlag New York 2005 |
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