For a set of k items having nonintersecting item response functions (IRFS), the H coefficient (Loevinger, 1948; Mokken, 1971) applied to a transposed persons by items binary matrix HThas a non-negative value. Based on this result, a method is proposed for using HT to investigate whether a set of IRFS intersect. Results from a monte carlo study support the proposed use of HT. These results support the use of HT as an exten-sion to Mokken’s nonparametric item response theory approach. Index terms: double monotoni-city, HT coefficient, intersection of item response func-tions, item response theory, Mokken models, non-parametric models. In item response models, the item response function (IRF) specifies the relationship between th
In standard applications of Item Response Theory (IRT), n exchangeable persons have responded to k e...
The monotonicity of item response functions (IRF) is a central feature of most parametric and nonpar...
invariant item ordering, item response theory, nonparametric polytomous IRT models, parametric polyt...
For a set of k items having nonintersecting item response functions (IRFS), the H coefficient (Loevi...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
We introduce a multidimensional item response theory (IRT) model for binary data based on a proximit...
A nonparametric Mokken analysis of test data generally results in the rejection of different items ...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
Item reliability is of special interest for Mokken’s nonparametric item response theory, and is usef...
A nonparametric Mokken analysis of test data generally results in the rejection of different items a...
In a broad class of item response theory (IRT) models for dichotomous items the unweighted total sco...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
Item reliability is of special interest for Mokken’s nonparametric item response theory, and is usef...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
In standard applications of Item Response Theory (IRT), n exchangeable persons have responded to k e...
The monotonicity of item response functions (IRF) is a central feature of most parametric and nonpar...
invariant item ordering, item response theory, nonparametric polytomous IRT models, parametric polyt...
For a set of k items having nonintersecting item response functions (IRFS), the H coefficient (Loevi...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
We introduce a multidimensional item response theory (IRT) model for binary data based on a proximit...
A nonparametric Mokken analysis of test data generally results in the rejection of different items ...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
Item reliability is of special interest for Mokken’s nonparametric item response theory, and is usef...
A nonparametric Mokken analysis of test data generally results in the rejection of different items a...
In a broad class of item response theory (IRT) models for dichotomous items the unweighted total sco...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
Item reliability is of special interest for Mokken’s nonparametric item response theory, and is usef...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
In standard applications of Item Response Theory (IRT), n exchangeable persons have responded to k e...
The monotonicity of item response functions (IRF) is a central feature of most parametric and nonpar...
invariant item ordering, item response theory, nonparametric polytomous IRT models, parametric polyt...