Great thread. The dominance of Likert-type outcome measures means that most psychologists don't actually know what a non-arbitrary measure looks like. So here's a thread on how we can make our measures less arbitrary: 1/n
— Dr. Jessie Sun (@JessieSunPsych) November 29, 2020
Very useful. The disjoint between relative effects (Likert Scale) and real world implications is one of many epistemic failures which plague a number of branches of academic research.
I see it connected to an issue I encounter with some frequency.
A problem exists. Stakeholders (or select decision-makers) leap to a causal conclusion and then leap to a monocausal solution. They end up measuring success in terms of implementation (typically budget and speed) rather than the amelioration of the original problem.
If the action/finding has no beneficial real world outcomes, then is it even a real action/finding?
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