EMimpute: EM Imputation

In TestDataImputation: Missing Item Responses Imputation for Test and Assessment Data

Description

This function imputes for all missing responses using EM imputation (see Finch, 2008) <doi: 10.1111/j.1745-3984.2008.00062.x>. The Amelia package (Honaker et al., 2011 <doi: 10.18637/jss.v045.i07>) is used for the imputation. Integrated scores are then obtained by rounding imputed values to the closest possible response value.

Usage

EMimpute(test.data, Mvalue = "NA", max.score = 1, round.decimal = 0)

Arguments

test.data	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).
Mvalue	Missing response indicators in the data (e.g. "NA", "8", "9", etc.). Mvalue="NA" by default.
max.score	The max possible response value in the test data. By default max.score=1 (i.e.,binary test data).
round.decimal	The number of digits or decimal places for the imputed value. The default value is 0.

Value

A data frame with all missing responses replaced by integrated imputed values.

References

Finch, H. (2008). "Estimation of Item Response Theory Parameters in the Presence of Missing Data." Journal of Educational Measurement, 45(3), 225-245. doi: 10.1111/j.1745-3984.2008.00062.x.

Honaker, J., King, G., & Blackwell, M. (2011). "Amelia II: A program for missing data." Journal of statistical software, 45(1), 1-47. doi: 10.18637/jss.v045.i07.

Examples

 
        EMimpute(test.data, Mvalue="NA",max.score=1,round.decimal=0)

TestDataImputation documentation built on Oct. 19, 2021, 1:07 a.m.