Does a P value of less than 5% necessarily mean that the hypothesis of the researcher is wrong?
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Replying to @CathyReisenwitz
It means that the Null hypothesis (usually random variation) is enough to explain the observed data.
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Replying to @k1ug3 @CathyReisenwitz
i.e. it means the data doesn't support the researcher's hypothesis
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Replying to @k1ug3 @CathyReisenwitz
(usually the reverse of that, the hypothesis the researcher is actually pushing is typically not the null rejected with p < 0.05)
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Replying to @eigenrobot @CathyReisenwitz
but practically p values in isolation don't mean shit and if that's the extent of the analysis just ignore the paper
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Replying to @eigenrobot @CathyReisenwitz
Effect size is way underrated, I think, at least in psych studies.
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That sounds right--outside of my bailiwick, I don't get an opinion here. :) But generally study design, effect size, reproduction > t tests
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