An item response theory is discussed which is based on purely ordinal assumptions about the probabilities that people respond positively to items. It is considered as a natural generalization of both Guttman scaling and classical test theory. A distinction is drawn between construction and evaluation of a test (or scale) on the one hand and the use of a test to measure and make decisions about persons’ abilities on the other. Techniques to deal with each of these aspects are described and illustrated with examples
Test theories can be divided roughly into two categories. The first is classical test theory, which ...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
Relationships between a mathematical measurement model and its real-world applications are discussed...
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...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
Item response theory (IRT) provides procedures for scoring tests including any combination of rated...
As the focus of this chapter, we discuss nonparametric item response theory for ordinal person scale...
[[abstract]]Dichotomous Response Testing is widely used in the items of traditional cognitive tests,...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis...
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis...
In this paper we develop a descriptive concept of a (partially) ordinal joint scaling of items and ...
In a few words, item response theory (IRT) postulates that (a) examinee test performance can be pred...
Test theories can be divided roughly into two categories. The first is classical test theory, which ...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
Relationships between a mathematical measurement model and its real-world applications are discussed...
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...
Item response theory is a set of models and methods allowing for the analysis of binary or ordinal v...
Relationships among twenty polytomous item response theory (IRT) models (parametric and nonparametri...
Item response theory (IRT) provides procedures for scoring tests including any combination of rated...
As the focus of this chapter, we discuss nonparametric item response theory for ordinal person scale...
[[abstract]]Dichotomous Response Testing is widely used in the items of traditional cognitive tests,...
In this study, the item response models proposed by Mokken (1971) are discussed, and further develop...
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis...
This article introduces a model of ordinal unidimensional measurement known as Mokken scale analysis...
In this paper we develop a descriptive concept of a (partially) ordinal joint scaling of items and ...
In a few words, item response theory (IRT) postulates that (a) examinee test performance can be pred...
Test theories can be divided roughly into two categories. The first is classical test theory, which ...
This study was performed to show advantages of Item Response THeory (IRT) over Classical Test Theory...
Relationships between a mathematical measurement model and its real-world applications are discussed...