Another example of blinkered scientism… unfortunately too common.

#edusky #edneurosky

I have also made a longer LinkedIn post with additional insights and reflections on the study www.linkedin.com/posts/astrid...

Congratulations Claire!!

🤣🤣🤣

I know what you mean, with such a small effect size you never know though. Let me know if you find an alternative interpretation, I’d love to hear if there’s another explanation :)

Bayesian basically asks “what is the likelihood of this result/model given the data”; if I were you I’d do a full power calculation (lack of alignment between the results suggests power is likely to be your issue using the traditional method) and then just report everything.

The jury is out. Just because a model can predict or mimic human responses in psych experiments doesn't mean that the model explains how people think. Cognitive psychologists have been grappling with model mimicry - that qualitatively different models can predict the same human data - for decades.

I agree with you, this doesn’t seem right to me and the original sources should definitely be cited as in any summary of work done on a topic