extract.item

mirt model of class 'ExploratoryClass',
  'ConfirmatoryClass', or 'MultipleGroupClass'

a number signifying which item to extract

item

a number signifying which group the item
  should be extracted from (applies to 'MultipleGroupClass'
  only)

group

Extract the internal mirt objects from any estimated
  model.

extract

Analysis of dichotomous and polytomous response data using
        latent trait models under the Item Response Theory paradigm.
        Includes univariate and multivariate one-, two-, three-, and
        four-parameter logistic models, graded response models, rating
        scale graded response models, generalized partial credit
        models, nominal models, multiple choice models, and
        multivariate partially-compensatory models. These can be used
        in an exploratory or confirmatory manner with optional user
        defined linear constraints. 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 can include polynomial or product constructed
        latent traits. Additionally, multiple group analysis may be
        performed for unidimensional or multidimensional item response
        models for detecting differential item functioning.

extract.item: Extract an item object from mirt objects

Description

Usage

Arguments

Examples