TestDataImputation: 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, 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 <dais@indiana.edu>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

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)

Files in this package

TestDataImputation
TestDataImputation/NAMESPACE
TestDataImputation/data
TestDataImputation/data/test.data.rda
TestDataImputation/R
TestDataImputation/R/TwoWay.r
TestDataImputation/R/EMimpute.r
TestDataImputation/R/TreatIncorrect.r
TestDataImputation/R/LogisticReg.r
TestDataImputation/R/Listwise.r
TestDataImputation/R/ItemMean.r
TestDataImputation/R/PersonMean.r
TestDataImputation/R/ImputeTestData.r
TestDataImputation/MD5
TestDataImputation/DESCRIPTION
TestDataImputation/man
TestDataImputation/man/test.data.Rd
TestDataImputation/man/PersonMean.Rd
TestDataImputation/man/Listwise.Rd
TestDataImputation/man/TreatIncorrect.Rd
TestDataImputation/man/ItemMean.Rd
TestDataImputation/man/LogsticReg.Rd
TestDataImputation/man/Twoway.Rd
TestDataImputation/man/ImputeTestData.Rd
TestDataImputation/man/EMimpute.Rd