In the psychometric literature, item response theory models have been proposed that explicitly take the decision process underlying the responses of subjects to psychometric test items into account. Application of these models is however hampered by the absence of general and flexible software to fit these models. In this paper, we present diffIRT, an R-package that can be used to fit item response theory models that are based on a diffusion process. We discuss parameter estimation and model fit assessment, show the viability of the package in a simulation study, and illustrate the use of the package with two datasets pertaining to extraversion and mental rotation. In addition, we illustrate how the package can be used to fit the traditiona...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Current approaches to model responses and response times to psychometric tests solely focus on betwe...
Two-choice response times are a common type of data, and much research has been devoted to the devel...
In the psychometric literature, item response theory models have been proposed that explicitly take ...
In the psychometric literature, item response theory models have been proposed that explicitly take ...
Joachim Vandekerckhove, Extensions and applications of the diffu sion model for two-choice response ...
Inferences on ability in item response theory (IRT) have been mainly based on item responses while r...
Abstract. Stochastic diffusion models (Ratcliff, 1978) can be used to analyze response time data fro...
This article analyzes latent variable models from a cognitive psychology perspective. We start by di...
Item response theory (IRT) models are a class of statistical models used to describe the response be...
Abstract Item response theory (IRT) models for unfolding processes use the responses of individuals ...
Many experiments in psychology yield both reaction time and accuracy data. However, no off-the-shelf...
Item response theory (IRT) models are a class of statistical models used to describe the response be...
Thecurrent study examined theType I error rates and powerof several item response theory (IRT) item ...
This graduate-level textbook is a tutorial for item response theory that covers both the basics of i...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Current approaches to model responses and response times to psychometric tests solely focus on betwe...
Two-choice response times are a common type of data, and much research has been devoted to the devel...
In the psychometric literature, item response theory models have been proposed that explicitly take ...
In the psychometric literature, item response theory models have been proposed that explicitly take ...
Joachim Vandekerckhove, Extensions and applications of the diffu sion model for two-choice response ...
Inferences on ability in item response theory (IRT) have been mainly based on item responses while r...
Abstract. Stochastic diffusion models (Ratcliff, 1978) can be used to analyze response time data fro...
This article analyzes latent variable models from a cognitive psychology perspective. We start by di...
Item response theory (IRT) models are a class of statistical models used to describe the response be...
Abstract Item response theory (IRT) models for unfolding processes use the responses of individuals ...
Many experiments in psychology yield both reaction time and accuracy data. However, no off-the-shelf...
Item response theory (IRT) models are a class of statistical models used to describe the response be...
Thecurrent study examined theType I error rates and powerof several item response theory (IRT) item ...
This graduate-level textbook is a tutorial for item response theory that covers both the basics of i...
The Item Response Theory (IRT) has become one of the most popular scoring frameworks for measurement...
Current approaches to model responses and response times to psychometric tests solely focus on betwe...
Two-choice response times are a common type of data, and much research has been devoted to the devel...