Rho for Inter Rater Reliability

Rho is used to test the generalization of inter rater reliability (IRR) statistics. Calculating rho starts by generating a large number of simulated, fully-coded data sets: a sizable collection of hypothetical populations, all of which have a kappa value below a given threshold -- which indicates unacceptable agreement. Then kappa is calculated on a sample from each of those sets in the collection to see if it is equal to or higher than the kappa in then real sample. If less than five percent of the distribution of samples from the simulated data sets is greater than actual observed kappa, the null hypothesis is rejected and one can conclude that if the two raters had coded the rest of the data, we would have acceptable agreement (kappa above the threshold).


rhoR

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What is Rho

Rho is used to test the generalization of inter rater reliability (IRR) statistics. Calculating rho starts by generating a large number of simulated, fully-coded data sets: a sizable collection of hypothetical populations, all of which have a kappa value below a given threshold -- which indicates unacceptable agreement. Then kappa is calculated on a sample from each of those sets in the collection to see if it is equal to or higher than the kappa in then real sample. If less than five percent of the distribution of samples from the simulated data sets is greater than actual observed kappa, the null hypothesis is rejected and one can conclude that if the two raters had coded the rest of the data, we would have acceptable agreement (kappa above the threshold).


Installation

From CRAN

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install.packages("rhoR")

Development Version

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install.packages("rhoR", repos = c("https://cran.qe-libs.org", "https://cran.rstudio.org"))

Resources

To learn more about Rho, visit the resources page.

Reference manual

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install.packages("rhoR")

1.3.1 by Cody L Marquart, a year ago


https://rhor.qe-libs.org


Report a bug at https://gitlab.com/epistemic-analytics/qe-packages/rhoR/-/issues


Browse source code at https://github.com/cran/rhoR


Authors: Brendan Eagan [aut] , Brad Rogers [aut] , Rebecca Pozen [aut] , Cody L Marquart [cre, aut] (ORCID: , David Williamson Shaffer [aut]


Documentation:   PDF Manual  


GPL-3 | file LICENSE license


Imports Rcpp, stats, utils, methods

Suggests testthat, knitr, rmarkdown, microbenchmark

Linking to Rcpp, RcppArmadillo


Imported by ncodeR.


See at CRAN