highly significantp < .001
The mean and standard deviation of the responses for each of the belief-based statements as well as the Cronbach’s alpha or Pearson correlation coefficient where appropriate for each measure can be seen in Table 3 . Principal component analysis with varimax rotation To measure sampling adequacy of the responses to misinformation and rumor shared on social media we used Kaiser–Meyer–Olkin measure of sampling adequacy, which was very high (0.928), and Bartlett’s Test of Sphericity, which was highly significant (χ 2 (66) = 10,284.73, p < .001).