# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "TestDataImputation" in publications use:' type: software license: GPL-2.0-or-later title: 'TestDataImputation: Missing Item Responses Imputation for Test and Assessment Data' version: '2.3' doi: 10.32614/CRAN.package.TestDataImputation abstract: '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 ).' authors: - family-names: Dai given-names: Shenghai email: s.dai@wsu.edu - family-names: Wang given-names: Xiaolin - family-names: Svetina given-names: Dubravka repository: https://daiscode.r-universe.dev commit: fcdba13b0b05d60612e7384fc306e1bdb2cccc32 date-released: '2021-10-18' contact: - family-names: Dai given-names: Shenghai email: s.dai@wsu.edu