boot.mirt

an estimated object from <code>mirt</code>,
  <code>bfactor</code>, or <code>multipleGroup</code>

number of draws to use (passed to the
  <code>boot()</code> function)

additional arguments to be passed on to
  <code>boot(...)</code>

Given an internal mirt object estimate the bootstrapped
standard errors. It may be beneficial to run the
computations using multi-core architecture (e.g., the
<code>parallel</code> package).

bootstrapped

errors

standard

Analysis of dichotomous and polytomous response data using
    unidimensional and multidimensional latent trait models under the Item
    Response Theory paradigm. Exploratory and confirmatory models can be
    estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
    bi-factor and two-tier analyses are available for modeling item testlets.
    Multiple group analysis and mixed effects designs also are available for
    detecting differential item functioning and modelling item and person
    covariates.

boot.mirt: Calculate bootstrapped standard errors for estimated models

Description

Usage

Arguments

See Also

Examples