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Embretson, Susan E.; Yang, Xiangdong – Psychometrika, 2013
This paper presents a noncompensatory latent trait model, the multicomponent latent trait model for diagnosis (MLTM-D), for cognitive diagnosis. In MLTM-D, a hierarchical relationship between components and attributes is specified to be applicable to permit diagnosis at two levels. MLTM-D is a generalization of the multicomponent latent trait…
Descriptors: Mathematics Achievement, Achievement Tests, Item Response Theory, Measurement
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Chen, Ping; Xin, Tao; Wang, Chun; Chang, Hua-Hua – Psychometrika, 2012
Item replenishing is essential for item bank maintenance in cognitive diagnostic computerized adaptive testing (CD-CAT). In regular CAT, online calibration is commonly used to calibrate the new items continuously. However, until now no reference has publicly become available about online calibration for CD-CAT. Thus, this study investigates the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Cognitive Tests
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Yen, Wendy M. – Psychometrika, 1987
Comparisons are made between BILOG version 2.2 and LOGIST 5.0 version 2.5 in estimating the item parameters, traits, item characteristic functions, and test characteristic functions for the three-parameter logistic model. Speed and accuracy are reported for a number of 10, 20, and 40-item tests. (Author/GDC)
Descriptors: Comparative Analysis, Computer Simulation, Computer Software, Item Analysis
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Rosenbaum, Paul R. – Psychometrika, 1987
This paper develops and applies three nonparametric comparisons of the shapes of two item characteristic surfaces: (1) proportional latent odds; (2) uniform relative difficulty; and (3) item sensitivity. A method is presented for comparing the relative shapes of two item characteristic curves in two examinee populations who were administered an…
Descriptors: Comparative Analysis, Computer Simulation, Difficulty Level, Item Analysis