Cute but uncooperative: the measurement issues with babies. this has led to a constant improvement in methods #OpenScienceIMC
All labs I have worked in I have discovered models which don't replicate, just to be clear. But I am talking about empirical stuff. In the dev psych lab I worked in there was this "don't you know Blah Blah doesn't replicate? everybody knows that" vibe but in private.
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While in non-dev labs I have worked in before and since, there is no secret cache of "this is what doesn't replicate" from empirical stuff, it's done publically nowadays... and I am asking if this is a thing or just me? Hence why I tagged
@chbergma...https://twitter.com/o_guest/status/1105900205457707009 … -
Is the reason there is "no big scandal in Dev Sci" because there are many scandals they just don't surface and so uptake of open- and replication-related practises is so fast because you all speak about this in private?
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Do you get my question now,
@ivanflis? -
Yup yup, I get it now. Interested to hear what the answer of the dev peeps is going to be. :)
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No idea, and I must say I speak from a tiny corner of the field. I know there are cases of attemts to disprove each other etc, but that's different. In most cases I know there are debates and a mixed literature, not cases of 'don't touch textbook study x'
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And I also was talking about massive things like the dead salmon paper that made menat least question half of neuroscience, which is different from being wary of single studies / phenomena...
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(Urgh, I broke my thread) What does happen, but what I think is not special, are file-drawered failed attempts to replicate, but that is true afaik across fields, so it also doesn't fit the bill... There is a sound symbolism meta-analysis with a lot of unpublished studies eg
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Thanks and yes, that makes sense!
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Interesting. My comment that it happens in other fields comes from Harry Collins' book on replication. I think he mentions there how physicists would talk to each other and shit-talk colleagues with a bad track record, in the sense that you shouldn't trust what they use.
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