rundif: runs ordinal logistic regression DIF

In lordif: Logistic Ordinal Regression Differential Item Functioning using IRT

runs ordinal logistic regression DIF

Description

Runs ordinal logistic regression DIF

Usage

rundif(item, resp, theta, gr, criterion, alpha, beta.change, pseudo.R2, R2.change, wt)

Arguments

item	a selection of items to be analyzed
resp	a data frame containing item responses
theta	a conditioning (matching) variable
gr	a vector of group identifiers
criterion	criterion for flagging (i.e., "CHISQR", "R2", or "BETA")
alpha	significance level for Chi-squared criterion
beta.change	proportional change for Beta criterion
pseudo.R2	pseudo R-squared measure (i.e., "McFadden", "Nagelkerke", or "CoxSnell")
R2.change	R-squared change for pseudo R-squared criterion
wt	optional sample weights

Details

The argument item lists the column numbers of the data frame resp to be included in the analysis.

Value

Returns a list of the following components:

stats	a data frame containing output statistics
flag	a logical vector of DIF flags

Author(s)

Seung W. Choi <[e-mail]>

References

Choi, S. W., Gibbons, L. E., Crane, P. K. (2011). lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations. Journal of Statistical Software, 39(8), 1-30. URL http://www.jstatsoft.org/v39/i08/.

Crane, P. K., Gibbons, L. E., Jolley, L., and van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques: DIF detect and difwithpar. Medical Care, 44(11 Suppl 3), S115-S123.

See Also

runolr, lordif

Examples

## Not run: rundif(item,resp,theta,gr)

lordif documentation built on April 3, 2025, 10:37 p.m.