Correlation coefficients (r), first and second Eigenvalues (λ1, λ2), covariance between AD and SS (σAD,SS), and effect sizes (Consistent versus Orthogonal discrimination in the first testing block, as measured by Cohen's d) for each experiment.

Correlation Model indicates Eigenvalues calculated from the correlation matrix of the stimulus sets before the simulation, while Covariance Model indicates Eigenvalues calculated from the input covariance matrix before simulations. The order of experiments is intentionally transposed to highlight the robust negative correlation between the second Eigenvalue of the covariance matrix of the experimental stimuli with listener performance.