Relationships between a mathematical measurement model and its real-world applications are discussed. A distinction is made between large data matrices commonly found in educational measurement and smaller matrices found in attitude and personality measurement. Nonparametric methods are evaluated for estimating item response functions and (unconditional and conditional) inter-item covariances.</p
The authors discuss the applicability of nonparametric item response theory (IRT) models to the cons...
The present study compared the fit of several IRT models to two personality assessment instruments. ...
Cognitive assessment models with few assumptions, and connections with nonparametric item response t...
Relationships between a mathematical measurement model and its real-world applications are discussed...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
The current study focused on a comparison between two widely used representative Item Response Theor...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
An item response theory is discussed which is based on purely ordinal assumptions about the probabil...
An item response theory is discussed which is based on purely ordinal assumptions about the probabil...
The simultaneous and nonparametric estimation of latent abilities and item characteristic curves is ...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
Despite the well-known theoretical advantages of item response theory (IRT) over clas-sical test the...
The authors discuss the applicability of nonparametric item response theory (IRT) models to the cons...
The present study compared the fit of several IRT models to two personality assessment instruments. ...
Cognitive assessment models with few assumptions, and connections with nonparametric item response t...
Relationships between a mathematical measurement model and its real-world applications are discussed...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
The current study focused on a comparison between two widely used representative Item Response Theor...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
An item response theory is discussed which is based on purely ordinal assumptions about the probabil...
An item response theory is discussed which is based on purely ordinal assumptions about the probabil...
The simultaneous and nonparametric estimation of latent abilities and item characteristic curves is ...
A broad framework for examining the class of unidimensional and multidimensional models for item res...
Many multidimensional item response theory (IRT) models have been proposed. A comparison is made bet...
Despite the well-known theoretical advantages of item response theory (IRT) over clas-sical test the...
The authors discuss the applicability of nonparametric item response theory (IRT) models to the cons...
The present study compared the fit of several IRT models to two personality assessment instruments. ...
Cognitive assessment models with few assumptions, and connections with nonparametric item response t...
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