ResponseFun: Response Function Imputation (RF)

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

Description

This function imputes for all missing responses using the response function imputation (Sijtsma and van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>).

Usage

ResponseFun(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 test data (the lowest response value should be 0). By default max.score=1 (i.e.,binary test data). max.score = 2 if the response categories are (0, 1, 2), etc.
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 imputed with response function.

References

Sijtsma, K., & Van der Ark, L. A. (2003). "Investigation and treatment of missing item scores in test and questionnaire data." Multivariate Behavioral Research, 38(4), 505-528. DOI: 10.1207/s15327906mbr3804_4.

Examples

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

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