Listwise

Test data set (a data frame or a matrix) containing missing responses. 
Missing values are coded as NA or other values (e.g., 8, 9).

test.data

Missing response indicators in the data (e.g. "NA", "8", "9", etc.). Mvalue="NA" by default.

Mvalue

This function deletes examinees who report missing responses (see De Ayala et al. 2001)
&lt;doi:10.1111/j.1745-3984.2001.tb01124.x&gt;.

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<e2><80><93>maximization (EM)
imputation (see Finch, 2008 <doi: 10.1111/j.1745-3984.2008.00062.x>).

Listwise: Listwise Deletion (LW)

Description

Usage

Arguments

Value

References

Examples