That reminds me of around one century of psychological tests/models.
Needless to say that they are almost always bad, unable to capture what they try to, using vague/unmeasurable KPIs and prone to bias and alpha/beta errors.
Yet they are employed everywhere: from clinical practice, to HR depts, to marketing and communication, to influencer…
That reminds me of around one century of psychological tests/models.
Needless to say that they are almost always bad, unable to capture what they try to, using vague/unmeasurable KPIs and prone to bias and alpha/beta errors.
Yet they are employed everywhere: from clinical practice, to HR depts, to marketing and communication, to influencers and entertainment.
Given the quantity of scientific literature produced each day, the quantity of scandals around it and its uttermost importance for our society, I think we may need a further level of checks that actual meta-analyses and systematic reviews miss.
That is, scientific entities (institutionalised?) that - based on the highest standards of research - check if some research published in scientific journals is worth any consideration or should be retracted.
Thus impacting on the reputation of both the journals and the authors; plus fixing various other problems (conflicts of interest, publication bias, non-standardized reviews, h-index, predatory journals, political bias, etc).
That reminds me of around one century of psychological tests/models.
Needless to say that they are almost always bad, unable to capture what they try to, using vague/unmeasurable KPIs and prone to bias and alpha/beta errors.
Yet they are employed everywhere: from clinical practice, to HR depts, to marketing and communication, to influencers and entertainment.
Given the quantity of scientific literature produced each day, the quantity of scandals around it and its uttermost importance for our society, I think we may need a further level of checks that actual meta-analyses and systematic reviews miss.
That is, scientific entities (institutionalised?) that - based on the highest standards of research - check if some research published in scientific journals is worth any consideration or should be retracted.
Thus impacting on the reputation of both the journals and the authors; plus fixing various other problems (conflicts of interest, publication bias, non-standardized reviews, h-index, predatory journals, political bias, etc).