This is something very sensible in ML since, you likely want to use that algorithm for something else (or to extend / modify it), so you need to get it working in your pipeline and verify it works by comparing with the published result.
In something like psychology that is likely harder, since the experiment you want to do might be related to but differ significantly from the prior work. I am no psychologist, but I’d like to think that they don’t take one study as ground truth for that reason but try to understand causal mechanisms with multiple studies as data points. If the hypothesis is correct, it will likely present in multiple ways.
In something like psychology that is likely harder, since the experiment you want to do might be related to but differ significantly from the prior work. I am no psychologist, but I’d like to think that they don’t take one study as ground truth for that reason but try to understand causal mechanisms with multiple studies as data points. If the hypothesis is correct, it will likely present in multiple ways.