neuroimaging data and BF
I ran a few studies with functional near infrared spectroscopy (fNIRS) and while I think it could be a useful method, its still early days. Therefore the results in the literature are messy, everyone reports results in different ways (either reporting oxy, or deoxy signals, or both, or the difference between the two). There are also various options regarding preprocessing, which are widely discussed and no consensus reached. Lastly, as usually the whole fNIRS analyses spits out some beta values which are just analysed in t tests, for cognitive studies, there is the issue of correcting for multiple comparisons. Some people report uncorrected p values (as if corrected p values arent bad enough...), but that seems to be dying down. The problem with correction in fNIRS seems that its very conservative and eradicates everything or most. It's all a bit of a mess!
So I want to use BF to evaluate all of these issues. I can run analyses comparing the different preprocessing ways, analysing the various signals, and getting beta values for all. I do of course get p values too, just as thats what we (sadly) still are expected to do, and in some regards they might be useful in guiding my BF analyses, keeping in mind they are uncorrected p values...?
I'm a JASP (novice/) convert, and I think here it would provide a useful tool in evaluating the evidence from fNIRS data. I'm not sure my supervisor nor reviewers will be okay with this, but I want to try to make the argument. Do you think that makes sense?