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Titlebook: Computerized Adaptive and Multistage Testing with R; Using Packages catR David Magis,Duanli Yan,Alina A. von Davier Book 2017 Springer Int

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书目名称Computerized Adaptive and Multistage Testing with R
副标题Using Packages catR
编辑David Magis,Duanli Yan,Alina A. von Davier
视频video
概述Provides exhaustive descriptions of CAT and MST processes in an R environment.Guides users to simulate and implement CAT and MST using R for their applications.Summarizes the latest developments and c
丛书名称Use R!
图书封面Titlebook: Computerized Adaptive and Multistage Testing with R; Using Packages catR  David Magis,Duanli Yan,Alina A. von Davier Book 2017 Springer Int
描述The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples.  Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic.. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications.  CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years.  R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. .Though very useful and popular, R is a difficult language to learn, with a steep learning curve.  Given the obvious need for but with the complex implement
出版日期Book 2017
关键词pyschometrics; educational measurement; assessment; teaching and evaluation; quality control; R package; c
版次1
doihttps://doi.org/10.1007/978-3-319-69218-0
isbn_softcover978-3-319-88735-7
isbn_ebook978-3-319-69218-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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An Overview of Item Response Theory,te notation for use in subsequent chapters. Only topics and contents directly related to adaptive and multistage testing will be covered in this chapter; appropriate references for further reading are therefore also mentioned.
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An Overview of Item Response Theory,mation, and item/module selection. In this chapter, we present a brief overview of this theory, by providing key information and introducing appropriate notation for use in subsequent chapters. Only topics and contents directly related to adaptive and multistage testing will be covered in this chapt
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Simulations of Computerized Adaptive Testsd most important R functions are explained and illustrated. Focus is put on detailing the input arguments and output values of the main functions, as well as the relationships between them and their accurate use in adaptive and non-adaptive contexts.
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Examples of Simulations Using catRactical illustrations of . using two real item banks, one for dichotomously scored items and one for polytomously scored items. After a brief description of both item banks, several examples are displayed with the same organization.
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Simulations of Computerized Multistage Testsd scenarios. In the context of multistage testing, the R package . was developed in a similar spirit. This chapter provides a brief description of ., with emphasis on main differences between . and . for specific MST purposes.
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