SIBTEST.exp: SIBTEST

In cswells1/MeasInv: Collection of Methods to Detect Dichotomous and Polytomous Differential Item Functioning (DIF)

Description

SIBTEST

Usage

SIBTEST.exp(data, grp, focal.name, sig.level, purify)

Arguments

data	numeric: either the data matrix only, or the data matrix plus the vector of group membership.
grp	factor: the vector of group membership
focal.name	numeric or character: a single value
sig.level	numeric: the significance level
purify	logical: purification for the anchor

Value

The output is returned as lists for uniform DIF and non-uniform DIF. Each list includes Item (item name), focal_group (membership), n_matched_set (the matching items), n_suspect_set (the item to be tested for DIF), beta (DIF measure) , SE (the standard error for beta), X2 (the Chi-square test statistics for DIF), df (degree of freedom), p (statistical p-value).

References

Chalmers, R. P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi:10.18637/jss.v048.i06 Shealy, R. & Stout, W. (1993a). An item response theory model for test bias and differential item functioning. In P. Holland & H Wainer (Eds.), Differential item functioning (pp. 197-240). Hillsdale, NJ: Erlbaum. Shealy, R. & Stout, W. (1993b). A model-based standardization approach that separates true bias/DIF. Psychometrika, 58, 159-194. Zenisky, A. L., Hambleton, R. K., & Robin, F. (2003). Detection of differential item functioning in large-scale state assessments: A study evaluating a two-stage approach. Educational and Psychological Measurement, 63, 51-64.

cswells1/MeasInv documentation built on Dec. 19, 2021, 7 p.m.