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The p-value test isn't a model, it's a measure of the significance of an effect in data against random noise.
by danparsonson 11y ago
The p-value test isn't a model, it's a measure of the significance of an effect in data against random noise.
- tel 11y agoWhich arises from a model (!) of random noise and of your effect.
- danparsonson 11y agoI see - my mistake. That's a very broad definition of 'model' though isn't it? Including 'random numbers'? You might as well say everything is a model in which case the original quote says nothing :-)
- tel 11y agoIt's perhaps a bit like "everything is a model" in the sense that all of these tests, even the model-free ones, arise from a coherent choice of assumptions and, if you for a moment take the Bayesian perspective very seriously, prior distributions over conditionals. The original quote should be taken to mean that any particular choice of assumptions is limiting, but making interesting choices can drive interesting questions which are thought provoking and meaningful even if they are wrong.