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Titlebook: Educational Measurement for Applied Researchers; Theory into Practice Margaret Wu,Hak Ping Tam,Tsung-Hau Jen Book 2016 Springer Nature Sing

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發(fā)表于 2025-3-21 18:55:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Educational Measurement for Applied Researchers
副標題Theory into Practice
編輯Margaret Wu,Hak Ping Tam,Tsung-Hau Jen
視頻videohttp://file.papertrans.cn/303/302637/302637.mp4
概述Accessible to a broad range of researchers, even to those with no formal mathematics training.Includes numerous examples and exercises to provide readers with the opportunity to get hands-on practice
圖書封面Titlebook: Educational Measurement for Applied Researchers; Theory into Practice Margaret Wu,Hak Ping Tam,Tsung-Hau Jen Book 2016 Springer Nature Sing
描述.This book is a valuable read for a diverse group of researchers and practitioners who analyze assessment data and construct test instruments. It focuses on the use of classical test theory (CTT) and item response theory (IRT), which are often required in the fields of psychology (e.g. for measuring psychological traits), health (e.g. for measuring the severity of disorders), and education (e.g. for measuring student performance), and makes these analytical tools accessible to a broader audience.?.Having taught assessment subjects to students from diverse backgrounds for a number of years, the three authors have a wealth of experience in presenting educational measurement topics, in-depth concepts and applications in an accessible format. As such, the book addresses the needs of readers who use CTT and IRT in their work but do not necessarily have an extensive mathematical background. The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach to different measurement methods, such as contrasting CTT with IRT and multidimensional IRT models with unidimensional IRT models. Wherever possible, comparisons between models are ex
出版日期Book 2016
關鍵詞Classical Test Theory; Educational Measurement; Educational Measurement R Packages; Educational Testing
版次1
doihttps://doi.org/10.1007/978-981-10-3302-5
isbn_softcover978-981-10-9837-6
isbn_ebook978-981-10-3302-5
copyrightSpringer Nature Singapore Pte Ltd. 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:39:20 | 只看該作者
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Facets Models,full credit on an item. These probability functions depend on the values of person ability and item difficulty. That is, if a person is of high ability, and/or if the item is easy, the probability of success will be high.
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https://doi.org/10.1007/978-3-8349-9076-1 under CTT include measures of item difficulty, item discrimination, measurement error and test reliability. The term “Classical” is used in contrast to “Modern” test theory which usually refers to item response theory (IRT). The fact that CTT was developed before IRT does not mean that CTT is outda
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發(fā)表于 2025-3-23 02:24:15 | 只看該作者
Facets Models,full credit on an item. These probability functions depend on the values of person ability and item difficulty. That is, if a person is of high ability, and/or if the item is easy, the probability of success will be high.
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發(fā)表于 2025-3-23 06:53:03 | 只看該作者
Pers?nlichkeit: Service f?ngt beim Namen anfull credit on an item. These probability functions depend on the values of person ability and item difficulty. That is, if a person is of high ability, and/or if the item is easy, the probability of success will be high.
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