TestDataImputation: Missing Item Responses Imputation for Test and Assessment Data

Functions for imputing missing item responses for dichotomous and polytomous test and assessment data. This package enables missing imputation methods that are suitable for test and assessment data, including: listwise (LW) deletion (see De Ayala et al. 2001 <doi:10.1111/j.1745-3984.2001.tb01124.x>), treating as incorrect (IN, see Lord, 1974 <doi:10.1111/j.1745-3984.1974.tb00996.x>; Mislevy & Wu, 1996 <doi:10.1002/j.2333-8504.1996.tb01708.x>; Pohl et al., 2014 <doi:10.1177/0013164413504926>), person mean imputation (PM), item mean imputation (IM), two-way imputation (TW, see Sijtsma & van der Ark, 2003 <doi:10.1207/s15327906mbr3804_4>), logistic regression imputation (LR), and expectation–maximization (EM) imputation (see Finch, 2008 <doi:10.1111/j.1745-3984.2008.00062.x>).

Version: 1.2
Depends: R (≥ 3.4.0), mice, Amelia, stats
Published: 2020-11-16
Author: Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut]
Maintainer: Shenghai Dai <s.dai at wsu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MissingData, Psychometrics
CRAN checks: TestDataImputation results


Reference manual: TestDataImputation.pdf
Package source: TestDataImputation_1.2.tar.gz
Windows binaries: r-devel: TestDataImputation_1.2.zip, r-release: TestDataImputation_1.2.zip, r-oldrel: TestDataImputation_1.2.zip
macOS binaries: r-release (arm64): TestDataImputation_1.2.tgz, r-release (x86_64): TestDataImputation_1.2.tgz, r-oldrel: TestDataImputation_1.2.tgz
Old sources: TestDataImputation archive

Reverse dependencies:

Reverse imports: DIFplus


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