Hi, Sorry about the lack of clarification.
Yes, it's a functional study. Each of the classes is a subject. I basically want to compute the main effect of risk at the group level (i.e. High Risk minus Low Risk) but there are multiple observations per risk level since there are three different reward levels within each risk level (low Reward, med Reward, high Reward). I was thinking of setting up all the risk-reward conditions as active (=1s) in the fsgd file and then subtracting the conditions using the contrast matrices below to get the main effect of Risk. Please let me know if that makes a bit more sense. Thanks for your help, Afsana ______________________________ Afsana Afzal Clinical Research Coordinator Massachusetts General Hospital Division of Neurotherapeutics Department of Psychiatry: Neurosciences 149 13th St, Room 2612 Charlestown, MA 02129 Phone: 617-643-5129 Fax: 617-726-4078 ________________________________________ From: freesurfer-boun...@nmr.mgh.harvard.edu [freesurfer-boun...@nmr.mgh.harvard.edu] on behalf of Douglas N Greve [gr...@nmr.mgh.harvard.edu] Sent: Monday, February 22, 2016 12:16 PM To: freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] [FreeSurfer] Repeated Measures ANOVA in FSFAST I'm having a hard time deciphering what you are doing. Is this a functional study? What are the 5 classes? Why are there all 1s regardless of risk or reward level? On 02/19/2016 10:52 AM, Afzal, Afsana wrote: > Hi, > > I'm analyzing a decision making task with a 3x3 condition matrix: > pairings of low, medium, high levels of risk with low, medium, high > levels of reward. > > I've set up the following FSGD file to do a repeated > measures/within-subject ANOVA: > > GroupDescriptorFile 1 > Class hc001 > Class hc002 > Class hc003 > Class hc004 > Class hc005 > Variables lRsk_lRwd lRsk_mRwd lRsk_hRwd mRsk_lRwd > mRsk_mRwd mRsk_hRwd hRsk_lRwd hRsk_mRwd hRsk_hRwd > Input hc001 hc001 1 1 1 1 1 1 > 1 1 1 > Input hc002 hc002 1 1 1 1 1 1 > 1 1 1 > Input hc003 hc003 1 1 1 1 1 1 > 1 1 1 > Input hc004 hc004 1 1 1 1 1 1 > 1 1 1 > Input hc005 hc005 1 1 1 1 1 1 > 1 1 1 > > I've also created the following contrast matrices: > > Con1: Does difference between highRisk andLowRisk differ from 0? > 0 0 0 0 0 -1 -1 -1 0 0 0 1 1 1 > > Con2: Does difference between highRisk andMedRisk differ from 0? > 0 0 0 0 0 0 0 0 -1 -1 -1 1 1 1 > > Is this an appropriate way of setting up the ANOVA? > > Thanks for your help, > > Afsana > ______________________________ > *Afsana Afzal* > Clinical Research Coordinator > Massachusetts General Hospital > Division of Neurotherapeutics > Department of Psychiatry: Neurosciences > 149 13th St, Room 2612 > Charlestown, MA 02129 > Phone: 617-643-5129 > Fax: 617-726-4078 > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Douglas N. Greve, Ph.D. MGH-NMR Center gr...@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
