Compare agreement A with and without simulated coding error
Calculate agreement in ordered rating scales, and compares this to agreement with simulated coding error.
compareAgreement(V, n=500, e=0.01, N=500, pos=FALSE)
V |
A vector with an entry for each individual |
n |
Number of samples in the simulation of coding errors |
e |
Proportion of samples for which errors are simulated |
N |
Number of replications for calculating mean and standard deviation |
pos |
Vector of possible positions. If FALSE, the values occurring in V are set as the possible values |
This function calculates agreement on a vector, and compares the value with agreement with simulated coding error. It runs the function agreementError
N times. The other arguments (n, e, pos) are passed down to the agreementError
function.
The function returns a list with agreement A without simulated coding errors, the mean of agreement with simulated coding error, and the standard deviation of agreement with simulated coding error.
Didier Ruedin
# Sample data: V <- c(1,1,1,1,2,3,3,3,3,4,4,4,4,4,4) compareAgreement(V)
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