@Darren_Rhodes might enjoy going through it, I'm not actually against others doing preregistration. But I can't see me doing it
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Pre-reg is just an easy way to make your specification public and safeguard against post-hoc changes.
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does the specification include a clear description of all the parameters you tweaked that didn’t work?
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if not, you’ll overfit your computational model in exactly the same way as an empirical analysis
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true, I actually have an appendix in my PhD with every parameter setting for a model in tables
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but is that just for the final model, or for every model you discarded along the way to get there?
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surprisingly yes, it was a replication so every model attempt as part of replication is in the appen
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for both of the different models I replicated/failed to replicate
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