A structural model of the ability distribution in the item response theory is proposed in which continuous covariates representing the properties of groups to which the subjects belong are involved. The ability parameter which is treated as a random variable, is regressed on the covariates. It is assumed that the ability parameter is normally distributed with the mean and variance which are functions of the covariates. A two-parameter logistic model is adopted as the probability model of an item response. It is shown that item parameters and hyperparameters in the ability distribution can be estimated simultaneously using the EM algorithm. Examples are provided, where the mean and standard deviation of the ability parameter are represented ...
An item response theory (IRT) model is used as a measurement error model for the dependent variable ...
In this paper, we introduce a skew item response theory (IRT) for modelling the probability of corre...
Item response theory has improved the area of educational and psychological measurement significantl...
A structural model of the ability distribution in the item response theory is proposed in which cont...
In this work we propose IRT models to estimate ability distribution parameters of a population of in...
AbstractIn this work we propose IRT models to estimate ability distribution parameters of a populati...
Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investig...
In this paper we deal with the problem of estimating item and population ability parameters in longi...
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Baye...
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Baye...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
On the basis of monte carlo runs, in which item response data were generated for a variety of test...
An approximation is proposed for the posterior mean and standard devia-tion of the ability parameter...
This dissertation deals with the evaluation of model assumptions in the context of item response the...
The most probable distribution method is applied to derive the logistic model as the distribution ac...
An item response theory (IRT) model is used as a measurement error model for the dependent variable ...
In this paper, we introduce a skew item response theory (IRT) for modelling the probability of corre...
Item response theory has improved the area of educational and psychological measurement significantl...
A structural model of the ability distribution in the item response theory is proposed in which cont...
In this work we propose IRT models to estimate ability distribution parameters of a population of in...
AbstractIn this work we propose IRT models to estimate ability distribution parameters of a populati...
Statistical properties of the ability level estimate ( ) in item response theory (IRT) were investig...
In this paper we deal with the problem of estimating item and population ability parameters in longi...
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Baye...
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Baye...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
On the basis of monte carlo runs, in which item response data were generated for a variety of test...
An approximation is proposed for the posterior mean and standard devia-tion of the ability parameter...
This dissertation deals with the evaluation of model assumptions in the context of item response the...
The most probable distribution method is applied to derive the logistic model as the distribution ac...
An item response theory (IRT) model is used as a measurement error model for the dependent variable ...
In this paper, we introduce a skew item response theory (IRT) for modelling the probability of corre...
Item response theory has improved the area of educational and psychological measurement significantl...