Exam 21: Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

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In which circumstances, would you recommend Computerized Adaptive Testing to be used?

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There would need to be a large volume of testing to justify the expense of CAT, and so an organization that tests only a few people on an irregular basis might not be a good candidate for CAT. In addition, without a large number of people taking the test, it will be hard to get a large enough sample to estimate parameters with accuracy. Second, if there is a wide range of test takers who will be taking the test it may be important to use a CAT so that individual tests can be tailored to the diverse range of test takers. Third, if test taker time needs to be minimized, the efficiency of CAT will be viewed as an important asset. Finally, if test security is paramount, the increased security due to CAT can be a big asset.

Computerized adaptive tests are going to be most useful when _____________.

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D

If the discrimination parameters differ across groups in a differential item functioning (DIF) study, which of the following types of DIF would be exhibited?

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When paper and pencil based tests are transferred to computer without any modification, Shultz, Whitney, and Zickar (2021) refer to them as ___________ tests.

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Which of the following is a reason why some smaller companies may choose not to use computerized adaptive testing?

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In a computer adaptive test, the first item administered usually should have a __________?

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Suppose you are conducting a differential item functioning analysis to see if women respond differentially to items that were originally developed on a sample of men. In this example, (using IRT terms) women would be the ________ group.

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Shultz, Whitney, and Zickar (2021) mention which of the following as a common problem in differential item functioning studies?

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What are the major advantages of CAT administration over traditional paper-and-pencil test administration?

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What are strengths and limitations of the IRT-based approach to differential item functioning?

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Which of the following concepts in computerized adaptive language relates to test security? 

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In IRT, what is the technique used to see if items work the same across different populations?

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If you are interested in item bias, please explain the various techniques that can be used to understand it.

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Which of the following statistical techniques is mentioned by Shultz, Whitney, and Zickar (2021) as a useful technique in understanding item bias?

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What are key potential challenges with using Computerized Adaptive Testing?

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