Hi,
I used SCRalyse to perform my SCR analyses. I submitted the paper and one of the reviewers asks the following question ''SCR: I was missing the response criterion (e.g. 0.02 or 0.05 µS).'' It seems like I do not find the information in the reference paper. Any idea? Where can I find this information?
Thanks,
Mélissa
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PsPM uses a response criterion only for counting the number of response in SF models (here, it is 0.1 mcS).
For other applications, traditional SCR analysis often distinguishes between response amplitude (averaging after excluding non-responses) and response magnitude (averaging over all responses). The PsPM approach gives you what is called "magnitude" here. Sometimes, magnitude is computed after setting responses below the response criterion to zero. However, this does not make a big difference for the averages, and the suppression of negative responses skews the response distribution, often making additional data transformations necessary.
Hope this helps
Dominik
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
Hi,
I used SCRalyse to perform my SCR analyses. I submitted the paper and one of the reviewers asks the following question ''SCR: I was missing the response criterion (e.g. 0.02 or 0.05 µS).'' It seems like I do not find the information in the reference paper. Any idea? Where can I find this information?
Thanks,
Mélissa
Hi Melissa
PsPM uses a response criterion only for counting the number of response in SF models (here, it is 0.1 mcS).
For other applications, traditional SCR analysis often distinguishes between response amplitude (averaging after excluding non-responses) and response magnitude (averaging over all responses). The PsPM approach gives you what is called "magnitude" here. Sometimes, magnitude is computed after setting responses below the response criterion to zero. However, this does not make a big difference for the averages, and the suppression of negative responses skews the response distribution, often making additional data transformations necessary.
Hope this helps
Dominik
This absolutely helps :-D Thank you!