Item Parameter Estimation for Dichotomous Items Based on Item Response Theory: Comparison of BILOG-MG, Mplus and R (ltm)
نویسندگان
چکیده
منابع مشابه
Item Response Modeling With BILOG-MG and MULTILOG for Windows
Item response theory (IRT) has become one of the most popular scoring frameworks for measurement data. IRT models are used frequently in computerized adaptive testing, cognitively diagnostic assessment, and test equating. This article reviews two of the most popular software packages for IRT model estimation, BILOG-MG (Zimowski, Muraki, Mislevy, & Bock, 1996) and MULTILOG (Thissen, 1991), which...
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The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum’s Three-Parameter models have been implemented, whereas for polytomous data Semejima’s Graded Response model is available. Parameter estimates are obta...
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ژورنال
عنوان ژورنال: Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi
سال: 2020
ISSN: 1309-6575
DOI: 10.21031/epod.591415