COMPUTER ADAPTIVE TESTING (CAT)

Computer Adaptive Testing (CAT) is an increasingly popular form of assessment that allows for the individualization of test content and difficulty based on the test-taker’s performance. CAT has been used for a variety of applications, including educational testing, aptitude testing, and psychological assessments. This article will provide a brief overview of the CAT methodology, its benefits, and potential limitations.

CAT is a method of computerized assessment in which the difficulty of a test is adapted in real-time based on the test-taker’s responses. In each item, the computer algorithm selects the next item based on the test-taker’s previous responses, typically using Item Response Theory (IRT) to calculate the item difficulty and determine the level of difficulty of the next item. By presenting items that are tailored to the test-taker’s abilities, CAT is able to maximize the efficiency of the assessment by providing an optimal level of difficulty and providing timely feedback.

The use of CAT has several advantages over traditional paper-and-pencil tests. Firstly, CAT can reduce the amount of time needed to complete the assessment, by presenting items at an appropriate level of difficulty. This is especially beneficial in assessments that require a large number of items, such as aptitude tests. Furthermore, CAT can provide more accurate results, since the selection of items is tailored to the individual’s abilities. Additionally, CAT can reduce the need for test proctoring, as the computer can track the test-taker’s responses and flag any suspicious activity.

Despite its advantages, CAT also has some potential limitations. For instance, CAT can be less reliable in lower levels of ability, since the algorithm may not be able to accurately select appropriate items for those test-takers. Additionally, CAT may be more difficult to administer in certain contexts, since it requires the use of a computer and a stable internet connection. Furthermore, CAT can be more difficult to score, since the algorithm must be able to accurately select items that are appropriate for the test-taker.

In conclusion, CAT is an increasingly popular form of assessment that allows for the individualization of test content and difficulty based on the test-taker’s performance. CAT has several advantages over traditional paper-and-pencil tests, such as increased accuracy and efficiency, but it also has some potential limitations. Further research is needed to explore the efficacy of CAT in different contexts and to identify strategies for addressing its potential limitations.

References

Haertel, G. D., & Harris, E. R. (2019). Computer adaptive testing: A guide for practitioners. American Psychological Association.

Poropat, A. E., & McIlveen, P. (2016). Computer adaptive testing: A review. Educational Psychology Review, 28(3), 607-621.

Vanderbilt, C. H. (2016). Computerized adaptive testing in education, psychology, and business: An introduction. SAGE Publications.

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