DIFplus: Multilevel Mantel-Haenszel Statistics for Differential Item Functioning Detection

Clustered or multilevel data structures are common in the assessment of differential item functioning (DIF), particularly in the context of large-scale assessment programs. This package allows users to implement extensions of the Mantel-Haenszel DIF detection procedures in the presence of multilevel data based on the work of Begg (1999) <doi:10.1111/j.0006-341X.1999.00302.x>, Begg & Paykin (2001) <doi:10.1080/00949650108812115>, and French & Finch (2013) <doi:10.1177/0013164412472341>.

Version:	1.1
Depends:	R (≥ 3.5.0), stats
Imports:	TestDataImputation, plyr
Published:	2020-03-20
DOI:	10.32614/CRAN.package.DIFplus
Author:	Shenghai Dai [aut, cre], Brian F. French [aut], W. Holmes Finch [aut], Andrew Iverson [aut]
Maintainer:	Shenghai Dai <s.dai at wsu.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	Psychometrics
CRAN checks:	DIFplus results

Documentation:

Reference manual:

DIFplus.pdf

Downloads:

Package source:	DIFplus_1.1.tar.gz
Windows binaries:	r-devel: DIFplus_1.1.zip, r-release: DIFplus_1.1.zip, r-oldrel: DIFplus_1.1.zip
macOS binaries:	r-release (arm64): DIFplus_1.1.tgz, r-oldrel (arm64): DIFplus_1.1.tgz, r-release (x86_64): DIFplus_1.1.tgz, r-oldrel (x86_64): DIFplus_1.1.tgz

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