Recently, researchers have reformulated Item Response Theory (IRT) models into multilevel models to evaluate clustered … correspond directly with IRT models’ parameters is often referred to as multilevel measurement modeling. Unlike conventional IRT …).Limitations in terms of the minimum sample size and number of test items that permit reasonable one-parameter logistic (1-PL) IRT …

Item Response Theory (IRT) models are the basis of modern educational measurement. In order to increase testing … IRT assumption of local independence. However, a set of measurement models, testlet response theory (TRT), has been …

analysis and item response theory (IRT) were used to examine item discrimination and to identify items on the Family Assessment …

available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major … types of polytomous IRT models. This focuses on the two types of response probability that are unique to polytomous models … and their associated response functions, which are modeled differently by the different types of IRT model. It describes …

As item response theory (IRT) has developed and is widely applied, investigating the fit of a parametric model becomes … an important part of the measurement process when implementing IRT. The usefulness and successes of IRT applications rely … sufficient evidence before any model application. There is a lack of promising solutions on the detection of model misfit in IRT …