01556nas a2200169 4500008003900000245012400039210006900163300001000232490000700242520099400249100001901243700001801262700001801280700001601298700002001314856005201334 2012 d00aAn Empirical Evaluation of the Slip Correction in the Four Parameter Logistic Models With Computerized Adaptive Testing0 aEmpirical Evaluation of the Slip Correction in the Four Paramete a75-870 v363 a
In a selected response test, aberrant responses such as careless errors and lucky guesses might cause error in ability estimation because these responses do not actually reflect the knowledge that examinees possess. In a computerized adaptive test (CAT), these aberrant responses could further cause serious estimation error due to dynamic item administration. To enhance the robust performance of CAT against aberrant responses, Barton and Lord proposed the four-parameter logistic (4PL) item response theory (IRT) model. However, most studies relevant to the 4PL IRT model were conducted based on simulation experiments. This study attempts to investigate the performance of the 4PL IRT model as a slip-correction mechanism with an empirical experiment. The results showed that the 4PL IRT model could not only reduce the problematic underestimation of the examinees’ ability introduced by careless mistakes in practical situations but also improve measurement efficiency.
1 aYen, Yung-Chin1 aHo, Rong-Guey1 aLaio, Wen-Wei1 aChen, Li-Ju1 aKuo, Ching-Chin uhttp://apm.sagepub.com/content/36/2/75.abstract