It is computationally intensive to estimate polychoric correlations and their asymptotic covariance matrices.
we can say the correlation is positive if the value is 1, the correlation is negative if the value is -1, else 0.
Polychoric correlation is used to calculate the correlation between ordinal variables.
It is similar to actual correlation conditions. We can calculate it by using polychor() method.
The polychoric correlation coefficient is a measure of association between two ordinal variables.
It is based on the assumption that two latent bivariate normally distributed random variables generate couples of ordinal scores.
Learn more about polychoric correlation here:
