TreatIncorrect: Treat missing responses as incorrect (IN)

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

Description

This function replaces all missing responses by zero (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>);).

Usage

TreatIncorrect(test.data, Mvalue = "NA")

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.

Value

A data frame with all missing responses replaced by '0'.

References

Lord, F. M. (1974). " Quick estimates of the relative efficiency of two tests as a function of ability level." Journal of Educational Measurement, 11(4), 247-254. doi: 10.1111/j.1745-3984.1974.tb00996.x.

Mislevy, R. J., & Wu, P. K. (1996). " Missing responses and IRT ability estimation: Omits, choice, time limits, and adaptive testing. " ETS Research Report Series, 1996(2), i-36. doi: 10.1002/j.2333-8504.1996.tb01708.x.

Pohl, S., Gräfe, L., & Rose, N. (2014). "Dealing with omitted and not-reached items in competence tests evaluating approaches accounting for missing responses in item response theory models. " Educational and Psychological Measurement, 74(3), 423-452. doi: 10.1177/0013164413504926.

Examples

 
        TreatIncorrect(test.data, Mvalue="NA")

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