meanAgree: mean agreement among several raters

In eatModel: Educational Assessment Tools for IRT Modeling using Conquest or TAM

Description

This is a wrapper for the agree function from the irr package. Function computes mean agreement among several raters (at least 2) for one item and several persons.

Usage

meanAgree( dat , tolerance = 0 , weight.mean = TRUE )

Arguments

dat	Data frame with at least two columns, with examiness in the rows and raters in the columns.
tolerance	number of successive rating categories that should be regarded as rater agreement (see help file of the agree function).
weight.mean	Logical: TRUE, if agreement is weighted by number of rater subjects. FALSE, if it is averaged among all rater pairs.

Value

A list. First element is a data frame with proportional agreement between raters pairs. Second element is a scalar with mean agreement among all raters.

Author(s)

Alexander Robitzsch

Examples

data(rater)
v01 <- subset(rater, variable == "V01")
dat <- reshape2::dcast( v01, id~rater, value.var = "value")
agr <- meanAgree(dat[,-1])

eatModel documentation built on May 2, 2019, 6:49 p.m.