irrICC (version 1.0)

pval.ICC2r.inter: P-values of ICC(2,1) under Model 2 with subject-rater interaction, for 6 specific null values.

Description

This function computes 6 p-values for the Intraclass Correlation Coefficient (ICC) used as a measure of inter-rater reliability under the random factorial ANOVA model (Model 2) with subject-rater interaction. Each of the 6 p-values is associated with one of the null values 0,0.1,0.3,0.5,0.7,0.9.

Usage

pval.ICC2r.inter(dfra)

Arguments

dfra

This is a data frame containing 3 columns or more. The first column contains subject numbers (there could be duplicates if a subject was assigned multiple ratings) and each of the remaining columns is associated with a particular rater and contains its numeric ratings.

Value

This function returns a vector containing 6 p-values associated with the 6 null values 0,0.1,0.3,0.5,0.7,0.9.

References

Gwet, K.L. (2014): Handbook of Inter-Rater Reliability - 4th ed. chapter 9, section 9.3.1, equation 9.3.6. Advanced Analytics, LLC.

Examples

# NOT RUN {
#iccdata1 is a small dataset that comes with the package. Use it as follows:
library(irrICC)
iccdata1 #see what the iccdata1 dataset looks like
pval.ICC2r.inter(iccdata1)
# }