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In linear models and particularly in ANOVA, a contrast is a linear combination of parameters with coefficients summing up to zero. It is used to test the corresponding null hypothesis. Contrasts are especially often used with categorical predictors (factors) to make comparisons among the groups (categories). [See also tag 'categorical-encoding']
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How to examine interactions between factor and covariate in a mixed effects model?
I personally think that if you want to examine the true relationship between Y and the factors in your model after controlling for X you should be looking at the plotted adjusted rather than raw means …