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Why do you say a p value is a confounded index?
Because it never turns out the way I want it, that confounded thing! Seriously, the p value is literally a confounded index because it reflects both the size of the underlying effect and the size of...
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Why is it a dumb idea to interpret results by looking at p values?
It is a common (but wickedly bad) practice to make judgments about a research result by looking at p values. Even in top journals you’ll sometimes see the following decision rules applied: - if p ≥...
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It’s been a long time since I studied statistics. Remind me, what does a p...
A common misperception is that p = .05 means there is a 5% probability of obtaining the observed result by chance. The correct interpretation is that there is a 5% probability of getting a result this...
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Why can’t I just judge my result by looking at the p value?
Because a low p value could reflect any number of things apart from the size of the underlying effect. Consider two hypothetical studies examining the relationship between exam marking and academic...
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Why are journal editors increasingly asking authors to report effect sizes?
Because the whole point of doing research is that we may learn something about real world effects. Editors are increasingly asking for authors to provide their effect size estimates because of the...
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