Given the title I expected to find an interesting article on what can go wrong if we overly rely on quantitative methods in the humanities. But this article doesn't distinguish between badly-applied quantitative methods and where the limits of those methods are even if they are executed well.
For example:
> We look at instances where the effect exists and posit a cause—and forget all the times the exact same cause led to no visible effect, or to an effect that was altogether different
This just sounds to me like bad quantitative modelling.
There is a huge argument to be made for qualitative research, and there is much-needed criticism of the idea that "hard" methods are more valuable than "soft" methods. I think this article manages neither.
Given the title I expected to find an interesting article on what can go wrong if we overly rely on quantitative methods in the humanities. But this article doesn't distinguish between badly-applied quantitative methods and where the limits of those methods are even if they are executed well.
For example:
> We look at instances where the effect exists and posit a cause—and forget all the times the exact same cause led to no visible effect, or to an effect that was altogether different
This just sounds to me like bad quantitative modelling.
There is a huge argument to be made for qualitative research, and there is much-needed criticism of the idea that "hard" methods are more valuable than "soft" methods. I think this article manages neither.