residuals,ConfirmatoryClass-method

residuals,ExploratoryClass-method

residuals,MultipleGroupClass-method

residuals-method

an object of class <code>ExploratoryClass</code>,
  <code>ConfirmatoryClass</code> or <code>MultipleGroupClass</code>

object

type of residuals to be displayed.  Can be
  either <code>'LD'</code> for a local dependence matrix (Chen &
  Thissen, 1997) or <code>'exp'</code> for the expected values
  for the frequencies of every response pattern

restype

number of significant digits to be rounded

digits

logical; print the degrees of freedom and
  p-values?

df.p

logical; compute relavent statistics
  for each subject in the original data?

full.scores

a numeric value to be specified when
  using the <code>res='exp'</code> option. Only prints patterns
  that have standardized residuals greater than
  <code>abs(printvalue)</code>. The default (NULL) prints all
  response patterns

printvalue

logical; allow information to be printed
  to the console?

verbose

<code>residuals(object, restype = 'LD', digits = 3, df.p
  = FALSE, full.scores = FALSE, printvalue = NULL, verbose
  = TRUE, ...)</code>

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.

residuals-method: Compute model residuals

Description

Arguments

Examples