We propose a nonparametric Item Response Theory model for dichotomously scored items in a Bayesian framework. Partitions of the items are defined on the basis of inequality constraints among the latent class success probabilities. A Reversible Jump type algorithm is described for sampling from the posterior distribution. A consequence is the possibility to make inference on the number of dimensions (i.e., number of groups of items measuring the same latent trait) and to cluster items when unidimensionality is violated
The aim of the thesis is to propose a Bayesian estimation through Markov chain Monte Carlo of multid...
In a multiple choice test, examinees gain points based on how many correct responses they got. Howev...
Item response theory (IRT) models play a critical role in psychometric studies for the design and an...
We propose a nonparametric Item Response Theory model for dichotomously scored items in a Bayesian f...
We propose a nonparametric Item Response Theory model for dichotomously scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
To analyze the fairness of an educational system of a country and to help with development of pedago...
The aim of the thesis is to propose a Bayesian estimation through Markov chain Monte Carlo of multid...
In a multiple choice test, examinees gain points based on how many correct responses they got. Howev...
Item response theory (IRT) models play a critical role in psychometric studies for the design and an...
We propose a nonparametric Item Response Theory model for dichotomously scored items in a Bayesian f...
We propose a nonparametric Item Response Theory model for dichotomously scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
We propose a nonparametric item response theory model for dichotomously-scored items in a Bayesian f...
To analyze the fairness of an educational system of a country and to help with development of pedago...
The aim of the thesis is to propose a Bayesian estimation through Markov chain Monte Carlo of multid...
In a multiple choice test, examinees gain points based on how many correct responses they got. Howev...
Item response theory (IRT) models play a critical role in psychometric studies for the design and an...