You are here:

An Empirical Evaluation of the Slip Correction in the Four Parameter Logistic Models with Computerized Adaptive Testing
ARTICLE

, , , ,

Applied Psychological Measurement Volume 36, Number 2, ISSN 0146-6216

Abstract

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. (Contains 6 figures and 9 tables.)

Citation

Yen, Y.C., Ho, R.G., Laio, W.W., Chen, L.J. & Kuo, C.C. (2012). An Empirical Evaluation of the Slip Correction in the Four Parameter Logistic Models with Computerized Adaptive Testing. Applied Psychological Measurement, 36(2), 75-87. Retrieved January 24, 2020 from .

This record was imported from ERIC on April 19, 2013. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords