TestDataImputation

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).