deAyala

Mathematics data from de Ayala (2009; pg. 14); 5 item
  dataset in table format.

datasets

data

Analysis of dichotomous and polytomous response data using
        latent trait models under the Item Response Theory paradigm.
        Exploratory models can be estimated via quadrature or
        stochastic methods, a generalized confirmatory bi-factor
        analysis is included, and confirmatory models can be fit with a
        Metropolis-Hastings Robbins-Monro algorithm which may include
        polynomial or product constructed latent traits. Multiple group
        analysis and mixed effects designs may be performed for
        unidimensional or multidimensional item response models for
        detecting differential item functioning and modelling item and
        person covariates.

deAyala: Description of deAyala data

Description

Arguments

References