First, check that the predictor variable (cloak
) and the covariate (mischief1
) are independent. To do this we can run a one-way ANOVA. The output below shows that the main effect of cloak
is not significant, F(1, 78) = 0.14, p = 0.71, which shows that the average level of baseline mischief was roughly the same in the two cloak groups. This result is good news for using this model to adjust for the effects of baseline mischief.
The output below shows that baseline mischief significantly predicted post-intervention mischief, F(1, 77) = 7.40, p = 0.008. After adjusting for baseline mischief, the effect of cloak is also significant. In other words, mischief levels after the intervention differed significantly in those who had an invisibility cloak and those who did not. The adjusted means tell us, specifically, that mischief was significantly higher in those with invisibility cloaks, F(1, 77) = 11.33, p = 0.001. Additionally, we can look at the partial effect sizes and their 95% confidence intervals, which for both predictor variables do not include 0.
The covariate, baseline number of mischievous acts, was significantly related to the number of mischievous acts after the cloak of invisibility manipulation, F(1, 77) = 7.40, p = 0.01, = 0.114 (95% CI [0.016, 0.257]), indicating that the number of mischievous acts was higher in those who were given a cloak of invisibility (M = 10.15, SE = 0.28) than in those who were not (M = 8.77, SE = 0.30).