Dorothy Bishop (inactive account)

84.1K posts

Dorothy Bishop (inactive account)

Dorothy Bishop (inactive account)

@deevybee

Prof of developmental neuropsychology. Blog on https://t.co/oTsPc7TJDB. On Mastodon as @[email protected]; also @deevybee.bsky.social

Oxford Katılım Nisan 2010
976 Takip Edilen36.4K Takipçiler
Dorothy Bishop (inactive account)
Interested in how we can tackle the scourge of research fraud? And meeting people in the delightful city of Oxford? Join us at the FAIRS meeting in April - in-person and online options. More details and booking form: sjcfairsmeeting.com (turn off VPN if it doesn't load)
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Solal Pirelli
Solal Pirelli@SolalPirelli·
The @IEEEorg has a pseudoscience problem. Guest blog post on @deevybee's blog to present absurdities published in the same catalogue as some of the world's top scientific venues. Featuring electro-homeopathy, 0.33-celebrations, and even Swiss sanctions! deevybee.blogspot.com/2025/02/ieee-h…
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Paul Greatrix
Paul Greatrix@registrarism·
Evidently an Honorary Of all the celebrity recipients of Honorary Degrees over the years - many of them deserving, some not so much - there is one who really stands out. wonderfulhighered.com/2024/12/05/evi…
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Oxford City Council
Oxford City Council@OxfordCity·
The following paths remain closed today: - Marston Cyclepath - Willow Walk - Towpath from Fiddler's Island to Botley Road - Towpath from Osney Lock to Grandpont - Towpath from Folly Bridge to Donnington Bridge - Towpath from Donnington Bridge to Eastern Bypass
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Oxford City Council
Oxford City Council@OxfordCity·
⚠️ Flooding update (9.30am, 29 November) ⚠️ River levels remain high and there are still two flood warnings in place for Oxford. Flood barriers at Bullstake Close, Osney Island and South Hinksey remain in place today.
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Dorothy Bishop (inactive account)
@JohnHolbein1 With simulation you can highlight the relative importance of specific assumptions - and help demonstrate if there is an optimal analysis. You get convergence of results if you specify an appropriate analysis for the question.
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John B. Holbein
John B. Holbein@JohnHolbein1·
Let me take you back for a moment to 2018. A team of powerhouse psychologists have just published a (seemingly) groundbreaking article. The premise of the article was simple--give multiple research teams the same research question with the same dataset. Would teams with the same research question and the same data come to the same conclusions? The research question was: are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. This finding was widely shared in the popular press and on social media. Fast forward a few years: a new (less covered) article comes out and shows that the main reason teams came to different answers was the original research question was unclear. Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. When you reanalyze the data with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results across teams don't vary that much. From the authors of the new study: "The broad conclusion of our reanalysis is that social science research needs to be more precise in its `estimands' to become credible."
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@_rt*
@_rt*@literatura_rte·
𝐊𝐚𝐨𝐫𝐮 𝐘𝐚𝐦𝐚𝐝𝐚
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