Table 4 One way ANOVA’s with community as the independent variable and each hashtag as the dependent variable demonstrate that the usage of each hashtag was different across communities
From: Strategic attitude expressions as identity performance and identity creation in interaction
ANOVA | |
|---|---|
#genocidebysanctions | F(12, 5324) = 38.56, p < 0.001 ηp2 = 0.08, 95% CI[0.06, 0.09] |
#sanctionskill | F(6, 4904) = 54.87, p < 0.001 ηp2 = 0.06, 95% CI[0.05, 0.08] |
#cancelhr6600 | F(6, 4904) = 56.47, p < 0.001 ηp2 = 0.06, 95% CI[0.05, 0.08] |
#ukraineunderattaÑk | NOT SIG |
#stoprussia | F(6, 4904) = 15.82, p < 0.001 ηp2 = 0.02, 95% CI[0.01, 0.03] |
#stopputinnow | F(6, 4904) = 4.42, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.01] |
#nato | F(6, 4904) = 3.00, p < 0.001 ηp2 = 0.01, 95% CI[0.00, 0.01] |
#peace | F(6, 4904) = 1.55, p < 0.001 ηp2 = 0.01, 95% CI[0.00, 0.01] |
#stoprussianaggression | F(6, 4904) = 7.07, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.01] |
#russianwarcrimes | F(6, 4904) = 3.09, p < 0.001 ηp2 = 0.01, 95% CI[0.00, 0.01] |
#kyiv | F(6, 4904) = 1.99, p < 0.001 ηp2 = 0.01, 95% CI[0.00, 0.01] |
#kiev | F(6, 4904) = 1.60, p < 0.001 ηp2 = 0.01, 95% CI[0.00, 0.01] |
#armukrainenow | F(6, 4904) = 22.54, p < 0.001 ηp2 = 0.03, 95% CI[0.02, 0.04] |
#stopputin | F(6, 4904) = 8.86, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.02] |
#putin | F(6, 4904) = 110.09, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.02] |
#mariupol | F(6, 4904) = 3.93, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.01] |
#standupforukraine | F(6, 4904) = 3.66, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.02] |
#standwithukraine | F(6, 4904) = 47.20, p < 0.001 ηp2 = 0.06, 95% CI[0.04, 0.07] |
#ethiopia | F(6, 4904) = 69.20, p < 0.001 ηp2 = 0.08, 95% CI[0.06, 0.09] |
#genocideofukranians | F(6, 4904) = 4.15, p < 0.001 ηp2 = 0.01, 95% CI[0.01, 0.01] |
#rejects3199 | F(6, 4904) = 49.08, p < 0.001 ηp2 = 0.06, 95% CI[0.04, 0.07] |
