MDIFF

a vector indicating which items to select. If NULL is used
(the default) then MDISC will be computed for all items

which.items

Returns a matrix containing the MDIFF values (Reckase, 2009). Only suppored for items of class
'dich' and 'graded'. Note that the logistic intercept parameters are divided by 1.702 to match the
normal ogive metric.

discrimination

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 and test functioning as well as modelling
    item and person covariates.

MDIFF: Compute multidimensional difficulty index

Description

Usage

Arguments

References

See Also

Examples