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

Table 4 Repeated measures ANCOVAs

	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

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
¹Between-subjects factor was the visual experimental condition and in each case not significant