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, treating as incorrect (IN), person mean imputation (PM), item mean imputation (IM), two-way imputation (TW), logistic regression imputation (LR), and EM imputation.
|Author||Shenghai Dai [aut, cre], Xiaolin Wang [aut], Dubravka Svetina [aut]|
|Date of publication||2016-08-11 18:40:22|
|Maintainer||Shenghai Dai <email@example.com>|
|License||GPL (>= 2)|
EMimpute: EM Imputation
ImputeTestData: This main function imputes for missing responses using...
ItemMean: Item Mean (IM) Imputation
Listwise: Listwise Deletion (LW)
LogsticReg: Logistic Regression (LR) Imputation
PersonMean: Person Mean Imputation (PM)
test.data: Example test data
TreatIncorrect: Treat missing responses as incorrect (IN)
Twoway: Two-Way Imputation (TW)