independent effect sizes for each sample. These independent effect sizes were then multiplied by the inverse variance weight of the respective sample (which in the case of Pearson correlation is n-3). These weighted effect sizes were summed for each facet by disorder combination and then divided by the summed inverse variance weights to arrive at the mean weighted effect sizes. Significance testing was conducted on the resulting values by calculating a z-score for each effect size. Finally, the mean weighted effect sizes were returned to Pearson correlations using a z-to-r transformation.
