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
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
CRAN checks: DIFplus results


Reference manual: DIFplus.pdf
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-release (x86_64): DIFplus_1.1.tgz, r-oldrel: DIFplus_1.1.tgz


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