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Table 4 Repeated measures ANCOVAs

From: Debunking health myths on the internet: the persuasive effect of (visual) online communication

  variables1 belief t1 and t2 variables1 (future) behaviour t1 and t2 variables1 feeling t1and t2
nose myth;
n = 275
F(1 271) = 169.1, p < .001, partial η2 = .384; f = 0.49 F(1 271) = 64.4, p < .001,
partial η2 = .192; f = 0.21
F(1 271) = 11.3, p < .001,
partial η2 = .040; f = 0.04
eye myth;
n = 277
F(1 296) = 284.0, p < .001, partial η2 = .490; f = 0.69 F(1 269) = 205.4, p < .001,
partial η2 = .410; f = 0.53.
F(1 269) = 85.5, p < .001,
partial η2 = .224; f = 0.25
alcohol myth;
n = 274
F(1 273) = 182.6, p < .001, partial η2 = .401; f = 0.52 F(1 273) = 24.8, p < .001,
partial η2 = .083; f = 0.09.
F(1 273) = 19.3, p < .001,
partial η2 = .066; f = 0.07
finger myth;
n = 300
F(1 270) = 181.9, p < .001, partial η2 = .403; f = 0.52 F(1 270) = 22.9, p < .001,
partial η2 = .078; f = 0.08.
F(1 270) = 53.3, p < .001,
partial η2 = .165; f = 0.18
  1. Requirements for the calculations of a repeated measures ANCOVA are given for all analyses; normal distribution of the dependent variables is given; the box tests for equality of the covariance matrices in the analyses are always not significant; sphericity is assumed for all analysis
  2. 1Between-subjects factor was the visual experimental condition and in each case not significant