Ipr: Item parameter replication

Description Usage Arguments Value Author(s) References Examples

View source: R/IPR.R

Description

Generates a sample of item parameters assuming multivariate normality of estimates

Usage

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Ipr(itemParameters, itemCovariances, nReplicates = 5000)

Arguments

itemParameters

A list containing "focal" and "reference" item parameters. Item parameters are assumed to be on the same scale. Item parameters for each group should me a matrix with nrow equal to the number of items.

itemCovariances

A list containing "focal" and "reference" lists of matrices of covariance for item estimates.

nReplicates

A numeric value indicating the number of replications to perform

Value

itemParameters A list with item parameters for focal and reference groups

Author(s)

Victor H. Cervantes <vhcervantesb at unal.edu.co>

References

Oshima, T., Raju, N. & Nanda, A. (2006). A new method for assessing the statistical significance in the Differential Functioning of Items and Tests (DFIT) framework. Journal of educational measurement, 43(1), 1–17. doi:10.1111/j.1745-3984.2006.00001.x

Examples

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# # Not run
# #
# # data(dichotomousItemParameters)
# # threePlAse <- list()
# # threePlAse[['focal']] <- AseIrt(itemParameters = dichotomousItemParameters[['focal']],
# #                                 logistic = TRUE, sampleSize = 500, irtModel = '3pl')
# # threePlAse[['reference']] <- AseIrt(itemParameters = dichotomousItemParameters[['reference']],
# #                                     logistic = TRUE, sampleSize = 500, irtModel = '3pl')
# # threePlIpr <- Ipr(itemParameters = dichotomousItemParameters, itemCovariances = threePlAse,
# #                   nReplicates = 1000)

DFIT documentation built on May 19, 2017, 9:03 p.m.

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