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 ), treating as incorrect (IN, see Lord, 1974 ; Mislevy & Wu, 1996 ; Pohl et al., 2014 ), person mean imputation (PM), item mean imputation (IM), two-way (TW) and response function (RF) imputation, (see Sijtsma & van der Ark, 2003 ), logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM) imputation (see Finch, 2008 ).


Reference manual

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2.3 by Shenghai Dai, a month ago

Browse source code at https://github.com/cran/TestDataImputation

Authors: Shenghai Dai [aut, cre] , Xiaolin Wang [aut] , Dubravka Svetina [aut]

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods, Missing Data

GPL (>= 2) license

Depends on stats, mice, Amelia

Imported by DIFplus.

See at CRAN