Provocative question to all psychologists teaching statistics: Shouldn't you just stop & let mathematically trained statisticians take over? Empirical research shows that psych's teaching statistics don't know statistics well enough. So how can still teaching it be justified?
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No particular term I think, just different terms for particular misunderstandings. As you write below, open science actually doesn't have much to do with QRPs etc, but is it today among the proposed solutions to those problems. Solutions that have nothing to do with statistics.
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In my mathematical statistics class, we did learn about QRP’s and the math behind them (which I loved!), even if some solutions (open science practices) weren’t discussed. I still don’t think stats profs should teach psych stats, but they do understand the practice of stats.
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There’s actually a funny stats pun for p-hacking called “stargazing.” It refers to looking for significance stars on regression tables, which are often made using a package called stargazer.
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Btw, I’m an incoming Ph.D student, so I can only speak to my own undergrad stats experience. FWIW: I still learned a TON about open science and replicability from psychologists, even though I didn’t miss out on QRP’s by taking the mathematical stats course sequence.
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For myself, I see open science as very much not synonymous with methods change. Open science has been around way before the replication crisis stuff, but of course it's useful for addressing some issues [social] psych has for sure but certainly not everything.
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Exactly. I would say that open science is a set of practices enabled by internet; some of them are proposed solutions to the replicability crisis. Things like power analysis, sample size, etc has nothing to do w/ open science (but in psychology do we mix these terms).
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