OR say they’re fine without umbrellas for much of their work. Umbrellas make sense when go outside & it is raining. But UA better not push OR to go outside just so they can use umbrellas or push them to use umbrellas inside just in case, ...
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... or say that if OR do not go in an umbrella-needed situation then they are not doing good science. (Btw, I do not think this culture problem is specific to preregistration, but pervades psych science and open science also for other types of tools.)
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The only way IMHO the umbrella metaphor has any value here is if you also include the fact the "umbrella" is causing a high incidence of injuries to other people while also keeping the user dry.
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Replying to @o_guest @IrisVanRooij and
To wit, something that might work well for one person might not for others. We live in a world where things we do to improve our side of things has to be balanced against how it affects others.
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Sure. But if you present a p-value it only has meaning in a confirmatory setting. Exploratory research introduces a multiple comparisons problem with the number of comparisons unknown. And I believe there are problems for Bayesians too.
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I don't really do that kind of research, so I can't really comment on it in neither good faith nor with the required practical experience. I don't run analyses with p-values nor with Bayes factors, for example.
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Replying to @o_guest @EJWagenmakers and
While I have opinions (of course), I also don't think it's my place to tell you how do your science. I am not a big fan of prescriptivism — in most cases, I think it's misplaced. And I don't think science is a monolith.
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Replying to @o_guest @EJWagenmakers and
I know you haven't said this here yourself, but I wanted to super clarify where I am coming from. I think it's a tricky situation where there is a culture clash on quite a few different levels.
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Replying to @o_guest @EJWagenmakers and
I'm both a comp modeller (who doesn't care — on some level — what stats people do) and I do not believe in telling people how to do their science generally (so I don't think it's useful to dictate in a very rigidi way to others how to do stuff).
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Replying to @o_guest @EJWagenmakers and
I'm way more interested in stopping the prescriptivist culture, than I am in p-values or BFs. I feel like people telling others how to do research that the former don't even do, and are not experts in, is a strange and perhaps slippery slope.
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Hope that helps clarify my position. I think yours is that you are very interested in having a "what methods are appropriate" debate for the stats people use on their empirical data. And I don't really have any skin in that game.
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