Computerized adaptive tests with limiting answer review

• Main Authors: Lin, Xinxiong, 林信雄
• Other Authors: Ho, Rong-Guey
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/30157645218828413346

碩士 === 國立臺灣師範大學 === 資訊教育學系 === 95 === The popularity of computerized adaptive testing (CAT) has been increasing year by year. Item review is not permitted in many adaptive tests because test makers consider it does not follow the logic on which adaptive tests are based. Studies show that the no-revision policy causes increased anxiety to examinees. Consequently, this anxiety can decrease the examinee’s performance on adaptive tests, which would increase the error in their ability estimates. The purpose of this study is to suggest and to evaluate a RCAT algorithm for re-estimating examinee’s ability in CAT with limited answer review. The RCAT algorithm was examined through a simulation study. The results in this study show that RCAT is more precise than CAT in estimating examinee’s ability. Comparison between the RCAT and CAT conditions yields no significant differences in estimated measurement error. However, RCAT needs longer test length than CAT to achieve the level of standard error we set. It’s the cost that RCAT pays.