personfit

a computed model object of class
  <code>ExploratoryClass</code>, <code>ConfirmatoryClass</code>, or
  <code>MultipleGroupClass</code>

if <code>FALSE</code> (default) then a
  summary table with the Zh and p-values is returned,
  otherwise the original data matrix is returned with
  values appended to the rightmost column

full.scores

<code>personfit</code> calculates the Zh values from Drasgow,
  Levine and Williams (1985) for unidimensional and
  multidimensional models. The returned values approximate
  a standard normal distribution and therefore p-values are
  also returned. The returned object is a <code>data.frame</code>
  consisting either of the tabulated data or full data with
  the Zh and p-values appended to the last columns.

person

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,
        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.

personfit: Person fit statistics

Description

Usage

Arguments

References

See Also

Examples