 |
 |
I would make the model simpler. I would compute the difference images for each subject, then do a two-sample t-test with group (where group is the order). You could also add order as a group factor in a flexible factorial model. 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 Tue, May 8, 2012 at 8:37 AM, Ciara Mccabe <[log in to unmask]>wrote: > Dear SPMers**** > > ** ** > > I have ran a one-way ANOVA within subjects, with 20 subjects **** > > ** ** > > Entering 2 scans each subject Scan 1 drug scan 2 placebo**** > > ** ** > > I now want to add a covariate of ORDER **** > > Is this just a string 40 numbers with 1 for scan was week 1 and 2 for > scan was week 2?**** > > ** ** > > And can I do the same for gender?**** > > Thanks**** > > Ciara**** > > ** ** > > Dr Ciara McCabe**** > > Neuroscience Building**** > > Dept of Psychiatry**** > > Warneford Hospital**** > > Oxford University**** > > Oxford **** > > OX3 7JX**** > > ** ** > > Tel: 01865 223778**** > > Mob: 07966035631**** > > > http://www.psychiatry.ox.ac.uk/research/researchunits/perl/perlmembers/ciaramccabe/ > **** > > ** ** >