I disagree, but maybe you can elaborate. In my view, pre-reg is crucial for hypothesis testing, be it frequentist or Bayesian.
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speciation captures theory, so like a preregistration which can then be tested like usual for empirical data
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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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it's part of a school of thought just like anyth is. There's no single scientific method http://plato.stanford.edu/entries/scientific-method/ …
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also a model's specification is not known until after you have done all the work!
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Curious to know whether you would consider the work you do "hypothesis testing" in a deductive sense.
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I do modelling that fits into that and modelling that doesn't
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Do you use p values to draw inferences in your work?
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I have not done a frequentist test on a model as far as I can recall
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