Simulated Evidence of Computer Adaptive Test Length: Implications for high stakes assessment in Nigeria

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dc.contributor.authorOgunjimi, Mayowa Olurotimi
dc.contributor.authorAyanwale, Musa. A.
dc.contributor.authorOladele, Jumoke Iyabo
dc.contributor.authorDaramola, Dorcas Sola
dc.contributor.authorJimoh, Mohammed Idris
dc.contributor.authorOwolabi, Henry Olumuyiwa
dc.date.accessioned2025-02-19T10:10:35Z
dc.date.available2025-02-19T10:10:35Z
dc.date.issued2021-05-14
dc.description.abstractLike other African countries, high-stake testing in Nigeria has suffered significant setbacks due to the Covid-19 pandemic. Computerised Adaptive Tests (CAT) is a paradigm shift in educational assessment that ensures accuracy in ability placements. A survey design was employed to describe the psychometric characteristics of a simulated 3-parameter logistic IRT model design to support off-site assessments. This simulation protocol involved generating examinee and item pool data, specifying the item selection algorithm and specifying CAT administration rules for execution with SimulCAT. Findings revealed that the fixed-length test guarantees a higher testing precision with an observed systematic error less than zero, a CMAE ranging from 0.2 to 0.3 and RMSE being consistent around 0.2. Findings also revealed that the fixed-length test had a higher item exposure rate which can be handled by falling back on the item selection methods that rely less on the a-parameter. Also, item redundancy was lesser for the fixed-length test compared to the variable-length test. Conclusions are for the fixed-length test option for high-stakes assessment in Nigeria.
dc.description.sponsorshipAuthors
dc.identifier.issnISSN: 2158-3595
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/14806
dc.language.isoen
dc.publisherNorth American Business Press Inc.
dc.subjectHigher education
dc.subjectComputer Adaptive Testing (CAT)
dc.subjectItem Response Theory (IRT)
dc.subject3 Parameter Logistic (PL) model
dc.subjectTest lenght
dc.subjectMeasurement precision
dc.subjectItem exposure
dc.titleSimulated Evidence of Computer Adaptive Test Length: Implications for high stakes assessment in Nigeria
dc.typeArticle

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