subscore.x: Computing subscores using Haberman's method based on observed...

In subscore: Computing Subscores in Classical Test Theory and Item Response Theory

Computing subscores using Haberman's method based on observed total scores.

Description

This function estimates true subscores based on observed total scores using the method introduced by Haberman (2008) <doi:10.3102/1076998607302636>.

Usage

subscore.x(test.data)

Arguments

test.data

A list that contains item responses of all subtests and the entire test, which can be obtained using function 'data.prep'.

Value

summary	Summary of obtained subscores (e.g., mean, sd).
PRMSE	PRMSEs of obtained subscores (for Haberman's methods only).
subscore.original	Original observed subscores and total score.
subscore.x	Subscores that are estimated based on the observed total score.

References

Haberman, S. J. (2008). "When can subscores have value?." Journal of Educational and Behavioral Statistics, 33(2), 204-229.doi:10.3102/1076998607302636

Examples

       test.data<-data.prep(scored.data,c(3,15,15,20), 
                            c("Algebra","Geometry","Measurement", "Math"))
       
       subscore.x(test.data) 
       
       subscore.x(test.data)$summary
       subscore.x(test.data)$PRMSE
       subscore.x(test.data)$Correlation
       subscore.x(test.data)$Disattenuated.correlation
       subscore.x(test.data)$subscore.x

subscore documentation built on May 24, 2022, 5:07 p.m.