We used the results from the best-fitting bivariate Cholesky model to quantify the results in two ways. First, we decomposed the covariance between AUD and DIV into A, C and E components by dividing the genetic, shared environmental and nonshared environmental covariances by the overall covariance. Second, we algebraically transformed the Cholesky model results into latent genetic and environmental correlations. These decomposed sources of covariance and latent genetic and environmental correlations provide an intuitive way to conceptualize the source and magnitude of the association between AUD and DIV.