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

Yung Chin Yen, Rong Guey Ho*, Wen Wei Laio, Li Ju Chen, Ching Chin Kuo

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

10 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)75-87
頁數13
期刊Applied Psychological Measurement
36
發行號2
DOIs
出版狀態已發佈 - 2012 三月

ASJC Scopus subject areas

  • 社會科學(雜項)
  • 心理學(雜項)

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