- same models as [[220315_105858 badness multiverse interaction models|badness multiverse interaction models]], but impute zero vs impute mean for selected preprocessing parameters (note mean is heavily skewed because summed has no upper bound) - figures/results below always presented in pairs (zero-imputed then mean-imputed) - summary - condition effects no longer significant when imputing with mean instead of zero (same pattern across all winsorizing thresholds) - condition estimate also become more positive (sign flip) - potential `condition:t0` interaction, but depends a lot on winsorizing # condition estimate ## winsorize 0.95 ![[interact_retweet-badness_conditionC_sum_winsorize0.95_imputezero.png]] no significant effects when imputing with mean. also sign flip for mbfc and afm! ![[interact_retweet-badness_conditionC_sum_winsorize0.95_imputemean.png]] # condition-t0 interaction ## winsorize 0.99 ![[interact_retweet-badness_conditionC-t0LC_mean_winsorize0.99_imputezero 2.png]] ![[interact_retweet-badness_conditionC-t0LC_mean_winsorize0.99_imputemean.png]] ## winsorize 0.90 ![[interact_retweet-badness_conditionC-t0LC_sum_winsorize0.9_imputezero.png]] ![[interact_retweet-badness_conditionC-t0LC_sum_winsorize0.9_imputemean.png]]