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Direct linkWothke, Werner; Burket, George; Chen, Li-Sue; Gao, Furong; Shu, Lianghua; Chia, Mike – Journal of Educational and Behavioral Statistics, 2011
It has been known for some time that item response theory (IRT) models may exhibit a likelihood function of a respondent's ability which may have multiple modes, flat modes, or both. These conditions, often associated with guessing of multiple-choice (MC) questions, can introduce uncertainty and bias to ability estimation by maximum likelihood…
Descriptors: Educational Assessment, Item Response Theory, Computation, Maximum Likelihood Statistics
