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Analysts already have multiple degrees of freedom when converting effect sizes - e.g., to use Fisher's z transformation for correlations or to calculate the df in various instances. It would be great to show the impact of such choices on the estimates - but to do that, we'd first need to define a set of common decisions faced.
The text was updated successfully, but these errors were encountered:
This is now in ESMARconf presentation - yet with wholly different set of considerations. How can we best enable an inclusion of this? Simply allow for duplicate effect size IDs and then compare models based on them - and require user to prep this in advance?
Analysts already have multiple degrees of freedom when converting effect sizes - e.g., to use Fisher's z transformation for correlations or to calculate the df in various instances. It would be great to show the impact of such choices on the estimates - but to do that, we'd first need to define a set of common decisions faced.
The text was updated successfully, but these errors were encountered: