One of the best criticisms of an article in @Quillette I have yet seen. On the (de)merits of the content (credibly argued as flawed and possibly biased, with evidence, not insult). This is how intellectual criticism should be done.http://ow.ly/5dJw50tSPS8
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Replying to @PsychRabble @Quillette
Obvious from quickly looking at the figure. n = 80 into many subcategories, and weird parallel lines.
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Pretty sure these lines are just because these are the model predictions, not the empirical summary statistics. A model without interactions produces exactly parallel lines like this. This is the same as the stuff that
@ZachG932 normally posts (when he doesn't add interactions).1 reply 0 retweets 1 like -
Replying to @KirkegaardEmil @PsychRabble and
Yes. There is just not enough data to make the model really. So they shouldn't have tried.
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Replying to @jonatanpallesen @PsychRabble and
That's a different argument than your parallel lines one. Sample size argument depends on what effect sizes you expect to find. They had enough to find a massive difference (d > 1.00), like often seemingly claimed. They didn't have enough to find d = 0.30 or whatever.
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The lines are not based on data in each group, it's from the model fit, which assumes no interactions, hence lines must be parallel no matter the amount of data used to fit.
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