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Hello, I'm using FEAT to run a 3-level analysis. My study has 10 runs per subject with 15 subjects. The second level combines runs (using fixed-effects) and the third level combines subjects (using mixed-effects). I included a separate EV for each run at the second level to remove inter-run mean effects (making it repeated-measures). I tried doing this (one EV per subject) at the 3rd level, using FLAME, and I get this error: "Singular design. Number of EVs > number of time points." and the script crashes. It works, however, if I perform a fixed-effects analysis instead of using FLAME. Is there a better way to account for run and subject differences in these models? Why would this work with fixed-effects but not FLAME? Thank you, Michael -- Michael W. Cole Ph.D. candidate, Center for Neuroscience University of Pittsburgh