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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 |
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-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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.