John J. Barnard




Measurement specialists strive to shorten assessment time without compromising precision of scores. Computerized Adaptive Testing (CAT) has rapidly gained ground over the past decades to fulfill this goal. However, parameters for implementation of CATs need to be explored in simulations before implementation so that it can be determined whether expectations can be met. CATs can become costly if trial-and-error strategies are followed and especially if constraints are included in the algorithms, simulations can save time and money. In this study it was found that for both a multiple-choice question test and a rating scale questionnaire, simulations not only predicted outcomes for CATs very well, but also illustrated the efficiency of CATs when compared to fixed length tests. Accessed 910 times on https://pareonline.net from October 06, 2018 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.