MDIFF: Compute multidimensional difficulty index

In mirt: Multidimensional Item Response Theory

Compute multidimensional difficulty index

Description

Returns a matrix containing the MDIFF values (Reckase, 2009). Only supported for items of class 'dich' and 'graded'.

Usage

MDIFF(x, which.items = NULL, group = NULL)

Arguments

x	an object of class 'SingleGroupClass', or an object of class 'MultipleGroupClass' if a suitable group input were supplied
which.items	a vector indicating which items to select. If NULL is used (the default) then MDISC will be computed for all items
group	group argument to pass to extract.group function. Required when the input object is a multiple-group model

Author(s)

Phil Chalmers [e-mail]

References

Chalmers, R., P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v048.i06")}

Reckase, M. D. (2009). Multidimensional Item Response Theory. Springer.

See Also

extract.group, MDISC

Examples

## Not run: 

mod <- mirt(Science, 2)
MDIFF(mod)

mod <- mirt(expand.table(LSAT7), 2)
MDIFF(mod)


## End(Not run)

mirt documentation built on Sept. 11, 2024, 7:14 p.m.