I am confused by the assumption of homogeneity of variance of the Linear mixed model.
Does homogeneity of variance equal to homogeneity of error? May I know is the homogeneity of variance referring to the variance of the dependent variable? Or the residual of the model developed?
I have read some online source using the levene's test for equality of variances? There is a spread vs level option in SPSS and several options (power estimation, transformed, untransformed), would anyone please tell me what are the difference and how to use?
While some suggests to conduct a scatterplot with predicted value vs standardized residual of the model, I have also read papers using the unstandardized residual and studentized residual to plot against the predicted value. May I know are there any differences?
If there is slight violation of the assumption, could I still use linear mixed model?
Thank you very much for all the help!