For anova and ancova, normality assumption is about the residuals, not the response (whether measurements are repeated ir not). So you have to check the residuals, first using plots rather than tests which can be misleading when done alone.
For anova and ancova, normality assumption is about the residuals, not the response (whether measurements are repeated ir not). So you have to check the residuals, first using plots rather than tests which can be misleading when done alone.
This statement is confusing. Many parametric models don't need a normality assumption, and when relevant, this normality assumption is only needed for residuals, when testing model coefficients.