speciation captures theory, so like a preregistration which can then be tested like usual for empirical data
I don't do anyth Bayesian. I obviously can't rule it out for future work, but I haven't.
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Now I'm really intrigued. If you're not doing anything frequentist or Bayesian, what >
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< analytic methods do you apply for the part of your modelling that (as discussed above) >
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< you consider to be deductive hypothesis testing?
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ok this is too hard for twitter and I wanna drink.

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I've done modelling that can be seen as deductive due to maths. And modelling in which...
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the empirical data is evaluated using stats.
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tangent but often model fit is evaluated using bs and/or qualitative fit.

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qualitative I guess can be ok sometimes...
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I've mainly done connectionst. Not ideological connectionst though. If anyth mildly anti.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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