ddif: DIF Evaluation

In brookiem86/dDIF: MH and LR DIF Detection for Dichotomously Scored Items

Description

ddif identifies DIF using MH, LR, or both approaches

Usage

ddif(idata, group, type)

Arguments

idata	a matrix or data.frame of binary scored item responses. Only includes item data
group	a numeric vector of values identifying group membership. The focal group should be coded as 1 while the reference group should be coded as 0. Missing values are not allowed for group.
type	identifies the type of method to use. Options include "mh" for Mantel Haenszel, "lr" for Logistic Regression, or "all" for both methods

Details

The ddif function calls the dlr and/or dmh depending on the type of method specified. If the type is "all", the results will also display output of DIF magnitude categories for method in a data frame.

See Also

dmh for MH DIF method dlr for LR DIF method R2N for Nagelkerke R^2 mag for magnitude categorization

brookiem86/dDIF documentation built on May 13, 2019, 7:50 a.m.