Bayesian Content Validity Coefficients with Credibility Intervals

Bayesian inference for the six rating coefficients proposed by Aiken (1985) and Aiken (1989) : V (content validity), H (homogeneity), C (congruence), R (repeatability), A (rater agreement) and I (item coherence). All six are expressed as functionals of the population distribution of rating categories, so a single Dirichlet-Multinomial model yields their full posterior by push-forward. This treats each judge as one categorical observation and avoids the pseudo-replication of Beta-Binomial formulations. R is modelled on the c-by-c joint table because it is not a functional of the marginal distribution. Provides classical estimates with the correct parity correction, highest density and equal-tailed credibility intervals, posterior threshold probabilities, prior sensitivity analysis and a friendly step-by-step verbose report.


Reference manual

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install.packages("BayesAiken")

2.0.0 by Jose Ventura-Leon, a day ago


https://github.com/jventural/BayesAiken


Report a bug at https://github.com/jventural/BayesAiken/issues


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


Authors: Jose Ventura-Leon [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, graphics, grDevices, utils

Suggests testthat, shiny, readxl, writexl, openxlsx


See at CRAN