Detection of Aberrant Testing Behaviour in Unproctored CAT via a Verification Test
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| Publicado en: | International Journal of Assessment Tools in Education vol. 12, no. 3 (2025), p. 681 |
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International Journal of Assessment Tools in Education
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| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
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| Resumen: | Unproctored Computerized Adaptive Testing (CAT) is gaining traction due to its convenience, flexibility, and scalability, particularly in high-stakes assessments. However, the lack of proctor can give rise to aberrant testing behavior. These behaviors can impair the validity of test scores. This paper explores the use of a verification test to detect aberrant testing behavior in unproctored CAT environments. This study aims to use multiple measures to detect aberrant response patterns in CAT via a paper-and-pencil (P&P) test as well as to compare the sensitivity and specificity performances of the [log-likelihood subscript z] person-fit statistic (PFS) using no-stage and two-stage ([log-likelihood subscript z] is used after the Kullback-Leibler divergence (KLD) measure) methods in different conditions. Three factors were manipulated -- the aberrance percentage, the aberrance scenario, and the aberrant examinee's ability range. The study found that in all scenarios, the specificity performance of [log-likelihood subscript z] in classifying examinees was higher than its sensitivity performance in no-stage and two-stage analyses. However, the sensitivity performance of [log-likelihood subscript z] was higher in two-stage analysis. |
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| Fuente: | ERIC |