Model: quality ~ condition - each panel is one type of tweet - each row is one measure of domain quality: see [[different measures of domain quality]] - accounted for blocks: `difference_in_means(y ~ condition, blocks = block)` - replaced missing values with mean quality across users in control group # Condition effect - Oct 4 to Oct 24 ![[coef_conditiont_combine-diff-in-means_Oct04-Oct24 3.png]] # Condition effect - Oct 11 to Oct 24 ![[coef_conditiont_combine-diff-in-means_Oct11-Oct24 1.png]]