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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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https://doi.org/10.1007/978-1-349-15230-8d 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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Overview of Adaptive Testing, briefly discuss the important concepts associated with CATs and MSTs. We then introduce the R open source software packages . and . for CAT and MST simulations, and provide examples on how to use . and . for simulations.
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An Overview of Computerized Adaptive Testing scoring and equating, content balance, item exposure and security. We also provide a summary of the IRT-based item selection process with a list of the commonly used item selection methods, as well as a brief outline of the tree-based adaptive testing.
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https://doi.org/10.1007/978-1-349-15230-8In this chapter, we present a brief overview of computerized multistage testing theory, including test design, test assembly, item bank, module selection, routing, scoring and linking, and exposure and security. We also provide a summary of the IRT-based module selection process, as well as the tree-based multistage testing.
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Examples of Simulations Using ,In this chapter, we present several examples of using the R package . which is similar to CAT but specific for MST. We then implement a study with several MST designs, and an empirical comparison of MST versus CAT.
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