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GLM_Flex will handle your design without a problem. Best Regards, Donald McLaren ================= D.G. McLaren, Ph.D. Postdoctoral Research Fellow, GRECC, Bedford VA Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Website: http://www.martinos.org/~mclaren Office: (773) 406-2464 ===================== This e-mail contains CONFIDENTIAL INFORMATION which may contain PROTECTED HEALTHCARE INFORMATION and may also be LEGALLY PRIVILEGED and which is intended only for the use of the individual or entity named above. If the reader of the e-mail is not the intended recipient or the employee or agent responsible for delivering it to the intended recipient, you are hereby notified that you are in possession of confidential and privileged information. Any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited and may be unlawful. If you have received this e-mail unintentionally, please immediately notify the sender via telephone at (773) 406-2464 or email. On Sat, Feb 25, 2012 at 12:49 PM, Gabor Oederland <[log in to unmask]> wrote: > Dear all, > > > I ran into troubles with a 2x3x3-Within-Subject-Design. The idea is one > group with 14 subjects, three factors, overall this makes a 2x3x3-Design (I > ran models on single-subject level and now would like to conduct a group > analysis based on the con images. Due to the Design, I have 18 con images > per subject, each con images corresponding to one stimulus combination and > contrasted against implicit baseline). > > I'm interested in any of the potential main effects as well as the three > possible two-way interactions and the three-way interaction. > > "Flexible factorial" does not allow for any three-way interactions, so > this option seems to be useless. The extension GLM_flex > http://nmr.mgh.harvard.edu/harvardagingbrain/People/AaronSchultz/GLM_Flex.htmldoes not provide any solution for my design as well. > > Thus it seems to me that I have to run a "Full Factorial" as it is the > only design in which I can look at three-way interactions at all. So I set > up a model with three factors with "Independence - No" and "Variance - > Equal". But as far as I understood based on other messages dealing with 2x2 > or 2x3 ANOVAs, this is statistically wrong for a within-subject design? > > Would it help to add another factor "Subject"? If not, any other ideas? > > > Your help is greatly appreciated! > > Gabor >