I want to evaluate a certain score over different time-points (for different subjects). Normally I would go with a repeated measures anova, but because we have missing data I used a linear mixed model. I am using JASP, but I have some troubles with the interpretation, as I do not know that much about statistics.
The dependent variable is the score obtained in the test, the fixed variable is the timepoint (6 timepoints: baseline, 24h, 3d, 1 week, 3 weeks, 5 weeks) and the random effect grouping factor is the subject (only 6 subjects).
This is what I obtained for fixed effects estimates. I would like to compare the first timepoint (baseline) with the rest of the timepoints and see if there is a significant variance. But here I am not sure what the intercept means, as it seems that the last timepoint is being compared to the rest.
Can someone help me interpret this results?