My preference would be not to do this. I think theorists need to work closely with experimentalists and giving them a separate designation would go against that idea. Ideally all theorists should do some empirical work, imo, to understand how messy data is.
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So unless my experiences are somehow outlier ones (which they may be I realise I'm in a very small minority of people within cog/psych) I believe it's already the case that experimental experience is a baseline experience all PhDs have.
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Sometimes exp training can even hinder theoretical development. Not saying no empirical expertise is useful for theoretician, but also see how drilling of exp training can kill all conceptual creativity & make people conflate statistical hypothesis with substantive theory.
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If you're analyzing data, I think that's essentially empirical experience. I think the important aspect is just to know that data can be messy so that you don't get too attached to a particular interpretation of it.
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This is a good point, e.g. was at meeting with logicians & a cognitive scientist showed a plot of human data, with 3 noisy lines. I and other empirically trained ppl understood the general pattern. A logician asked "why do the lines zig-zag & how does your theory explain that?"
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Just saying: that some experience with the variability in data / phenomena of interest can give one a better sense of what pattern in the observations is in need of substantive theoretical explanation.
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Yeah, I've been where that logician was.
The only stats-related thing I knew before I moved to Psychology were Bayesian graphical models. I can't believe after more than a decade the module still exists and is taught by the same person! https://www.york.ac.uk/students/studying/manage/programmes/module-catalogue/module/COM00032H/2018-19 … -
But those are very useful too! Especially for better understanding Bayesian models in cognitive science and/or designing them oneself. -
Yes. Absolutely! But it made learning frequentist stuff very confusing! Especially at the start... I was like "why are we learning the equation of a line?" when we were taught linear regression for example. Also, oops. Sorry for breaking the thread.https://twitter.com/o_guest/status/1049777498056220673?s=19 …
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