pr: Pattern and Level Reliability via Profile Analysis

In profileR: Profile Analysis of Multivariate Data in R

Description

The pr function uses subscores from two parallel test forms and computes profile reliability coefficients as described in Bulut (2013).

Usage

pr(form1, form2)

Arguments

form1, form2

Two data matrices or data frames; rows represent individuals, columns represent subscores. Both forms should have the same individuals and subscores in the same order. Missing subscores have to be inserted as NA.

Details

Profile pattern and level reliability coefficients are based on the profile analysis approach described in Davison and Davenport (2002) and Bulut (2013). Using the parallel test forms or multiple administration of the same test form, pattern and level reliability coefficients are computed. Pattern reliability is an indicator of variability between the subscores of an examinee and the level reliability is an indicator of the average subscore variation among all examinees. For details, see Bulut(2013)

Value

An object of class prof is returned, listing the following components:

• reliability - Within-in person, between-person, and overall subscore reliability

• pattern.level - A matrix of all pattern and level values obtained from the subscores

References

Bulut, O. (2013). Between-person and within-person subscore reliability: Comparison of unidimensional and multidimensional IRT models. (Doctoral dissertation). University of Minnesota. University of Minnesota, Minneapolis, MN. (AAT 3589000).

Davison, M. L., & Davenport, E. C. (2002). Identifying criterion-related patterns of predictor scores using multiple regression. Psychological Methods, 7(4), 468-484. DOI: 10.1037/1082-989X.7.4.468

See Also

plot.prof

Examples

## Not run: 
data(EEGS)
result <- pr(EEGS[,c(1,3,5)],EEGS[,c(2,4,6)])
print(result)
plot(result)
## End(Not run)

profileR documentation built on May 2, 2019, 8:31 a.m.