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 |
| In views: |
Psychometrics |
| CRAN checks: |
DIFplus results |
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