reliability {conogive} | R Documentation |
The function ordinal_r
calculates the concrete ordinal reliability.
The functions theoretical_ordinal_r
and theoretical_ordinal_alpha
calculates the theoretical ordinal reliability and alpha based on the
polychoric correlation matrix.
ordinal_r( object, xi = c("sample", "theoretical"), weights = c("optimal", "equal") ) theoretical_ordinal_r(object, weights = c("optimal", "equal", "sigma")) theoretical_ordinal_alpha(object)
object |
An object of class |
xi |
How to calculate the Xi matrix. Option |
weights |
The weights used to calculate the ordinal reliability.
Option |
The population value of theoretical ordinal alpha equals the theoretical ordinal reliability when the underlying multivariate normal is parallel. The concrete ordinal reliability is the sqaured correlation between the true latent variable and the best linear predictor of the observed Likert-type data. See ((ref)) for definitions.
The concrete ordinal reliability, theoretical ordinal reliability, or theoretical ordinal alpha.
if(require("psychTools")) { agreeableness = psychTools::bfi[c("A1", "A2", "A3", "A4", "A5")] agreeableness[, "A1"] = 7 - agreeableness[, "A1"] # Reverse-coded item. object = conogive(agreeableness) ordinal_r(object, weights = "equal") # 0.6394087 theoretical_ordinal_alpha(object) # 0.7589922 theoretical_ordinal_r(object, weights = "equal") # 0.7689878 ordinal_r(object, weights = "optimal") # 0.6763742 theoretical_ordinal_r(object) # 0.8101108 }