Simulated Evidence of Computer Adaptive Test Length: Implications for High Stakes Assessment in Nigeria

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dc.contributor.authorOgunjimi, Mayowa O.
dc.contributor.authorAyanwale, Musa A.
dc.contributor.authorOladele, Jumoke Iyabode
dc.contributor.authorDaramola, Dorcas Sola
dc.contributor.authorJimoh, Mohammed Idris
dc.contributor.authorOwolabi, Henry O.
dc.date.accessioned2022-03-22T14:12:17Z
dc.date.available2022-03-22T14:12:17Z
dc.date.issued2021-05-14
dc.descriptionMain articleen_US
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 the 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 designs 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.en_US
dc.description.sponsorshipSelfen_US
dc.identifier.citationOgunjimi , M. O. ., Ayanwale , M. A. ., Oladele, J. I. ., Daramola, D. S. ., Jimoh , I. M. ., & Owolabi, H. O. . (2021). Simulated Evidence of Computer Adaptive Test Length: Implications for High Stakes Assessment in Nigeria. Journal of Higher Education Theory and Practice, 21(2).en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/7781
dc.language.isoen_USen_US
dc.publisherNorth American Business Pressen_US
dc.relation.ispartofseries21;2
dc.subjecthigher educationen_US
dc.subjectCATen_US
dc.subjectIRTen_US
dc.subject3PL modelsen_US
dc.subjecttest lengthen_US
dc.subjectmeasurement precisionen_US
dc.subjectitem exposureen_US
dc.subjectsimulationen_US
dc.titleSimulated Evidence of Computer Adaptive Test Length: Implications for High Stakes Assessment in Nigeriaen_US
dc.typeArticleen_US

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