expected.item: Function to calculate expected value of item

In mirt: Multidimensional Item Response Theory

Function to calculate expected value of item

Description

Given an internal mirt object extracted from an estimated model compute the expected value for an item given the ability parameter(s).

Usage

expected.item(x, Theta, min = 0, include.var = FALSE)

Arguments

x	an extracted internal mirt object containing item information (see extract.item)
Theta	a vector (unidimensional) or matrix (multidimensional) of latent trait values
min	a constant value added to the expected values indicating the lowest theoretical category. Default is 0
include.var	logical; include the model-implied variance of the expected scores as well? When TRUE will return a list containing the expected values (E) and variances (VAR)

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")}

See Also

extract.item, expected.test

Examples

mod <- mirt(Science, 1)
extr.2 <- extract.item(mod, 2)
Theta <- matrix(seq(-6,6, length.out=200))
expected <- expected.item(extr.2, Theta, min(Science[,1])) #min() of first item
head(data.frame(expected, Theta=Theta))

expected.item(extr.2, Theta, min(Science[,1]), include.var=TRUE)

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