Given we’re having drinks together in 45 mins, let’s debate this one out. I half agree. Be forewarned that I am bringing a copy of the infamous tenenbaum-griffiths-kemp-goodman drive-by shooting draft paper to make my point about the other half ...
The space of modelling and stats work is inherently structured around coherent types of modeling and stats. Those who run ANOVAs on their data and those who run cognitive models are different regardless of the spectrum between them.
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I only do cog modelling and don't do data collection or stats analyses as inferential statistics, so I am like the total odd-one-out sometimes in psych/cogsci. In the same way modelling might seem strange to non-modellers, some of the assumptions like in NHST seem bonkers to me.
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Unless those who do stats analyses of data think, for example, participants are like an ANOVA in a theoretically meaningful way (as opposed to seeing the ANOVA as a tool for understanding the data), there's a really important difference between that and cognitive modelling.
End of conversation
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