Missing Item Responses Imputation for Test and Assessment Data R package TestDataImputation version 2.3 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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>). Software Depends: R (>= 3.4.0), stats, mice, Amelia Shenghai Dai <s.dai@wsu.edu> Comprehensive R Archive Network (CRAN) Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut] GPL (>= 2) 2021-10-18 application/tgz https://CRAN.R-project.org/package=TestDataImputation doi:10.32614/CRAN.package.TestDataImputation