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 (TW) and response function (RF) imputation, (see Sijtsma & van der Ark, 2003 <doi:10.1207/s15327906mbr3804_4>), logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM) imputation (see Finch, 2008 <doi:10.1111/j.1745-3984.2008.00062.x>).

Version: 2.3
Depends: R (≥ 3.4.0), stats, mice, Amelia
Published: 2021-10-18
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

Documentation:

Reference manual: TestDataImputation.pdf

Downloads:

Package source: TestDataImputation_2.3.tar.gz
Windows binaries: r-devel: TestDataImputation_2.3.zip, r-release: TestDataImputation_2.2.zip, r-oldrel: TestDataImputation_2.3.zip
macOS binaries: r-release (arm64): TestDataImputation_2.3.tgz, r-release (x86_64): TestDataImputation_2.3.tgz, r-oldrel: TestDataImputation_2.3.tgz
Old sources: TestDataImputation archive

Reverse dependencies:

Reverse imports: DIFplus

Linking:

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