I am aware that PsPM is the current version, however I still use SCRalyze and I have a specific question relating to the option parametric confound in SCRalyze.
I would like to add questionnaire scores for each participant as a covariate. For each participant I have one questionnaire score, therefore it is the same value over all events.
The description of parametric confound sounds like an option for that. Would you recommend to use it? Could I enter just one value there?
Or do you have any other ideas how to add one value as a covariate?
Many thanks,
Natalie
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if you have one score per participant, I think the easiest way of using it is on the second level. Compute the parameter estimates for each participant, and then you can do regression analyses of your contrasts of interest with the questionnaire score.
This is what many people do in SPM for analysing fMRI data.
Hope this helps
best wishes
Dominik
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
Dear Dominik,
I am aware that PsPM is the current version, however I still use SCRalyze and I have a specific question relating to the option parametric confound in SCRalyze.
I would like to add questionnaire scores for each participant as a covariate. For each participant I have one questionnaire score, therefore it is the same value over all events.
The description of parametric confound sounds like an option for that. Would you recommend to use it? Could I enter just one value there?
Or do you have any other ideas how to add one value as a covariate?
Many thanks,
Natalie
Hi Natalie
if you have one score per participant, I think the easiest way of using it is on the second level. Compute the parameter estimates for each participant, and then you can do regression analyses of your contrasts of interest with the questionnaire score.
This is what many people do in SPM for analysing fMRI data.
Hope this helps
best wishes
Dominik