ItemMean: Item Mean (IM) Imputation

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

Description

This function imputes for all missing responses of an item by its mean (i.e., IM) on the available responses. Integrated scores for items are obtained by rounding their means to the closest possible response value.

Usage

ItemMean(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. 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 item means.

Examples

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

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