A variety of methods have been developed to determine
the extent to which a person’s response vector fits
an item response theory model. These person-fit methods
are statistical methods that allow researchers to
The application of unidimensional Rasch models
to longitudinal data assumes homogeneity of change
over persons. Using latent class models, several
classes with qualitatively distinct patterns of development
can be taken ...
Internal measures of differential functioning of items
and tests (DFIT) based on item response theory (IRT) are
proposed. Within the DFIT context, the new differential
test functioning (DTF) index leads to two new ...
Rasch model item parameters can be estimated
consistently with a pseudo-likelihood method based
on comparing responses to pairs of items irrespective
of other items. The pseudo-likelihood method is
comparable to Fischer’s ...
An automated item selection procedure for selecting
unidimensional scales of polytomous items from multidimensional
datasets is developed for use in the context
of the Mokken item response theory model of monotone