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If you are specifically interested in the three way interaction, you can form the interaction of the repeated-measures: (A1-A2)-(B1-B2). Then you can use a two-sample t-test to test if the interaction is different in each group. You can also use GLM Flex. Best Regards, Donald McLaren ================= D.G. McLaren, Ph.D. Research Fellow, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Postdoctoral Research Fellow, GRECC, Bedford VA 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 Mon, Jan 27, 2014 at 5:50 PM, Meg Spriggs <[log in to unmask]>wrote: > Hi, > > I am looking at doing the second level analysis for a design with 1 > between, 2 within goup factors. Each factor has two levels: > > Group: 2 levels > Condition 1: 2 levels > Condition 2: 2 levels > > I am interested in the three way interaction and I understand that you > cannot set up a three way interaction when designing the matrix for a > flexible factorial. I was wondering what the best way to set up the design > matrix is and what the best way to weight the contrasts would be to look at > this design. > > Thanks > Meg >