Which is the most accurate/ usefull command in R for realizing a Necessity test: pofind() (with the option "nec") or superSubset()?
Which is the most common?
I understand that pofind() tests isolated ("independent") conditions and their negations; while superSubset() seeks configurations (i.e. combinations of conditions)....
I used to use superSubset()... but, perhaps for the two-step QCA process and for an ESA analysis... pofind() might be more useful...
Any insight?
There should be no difference regarding accuracy, regardless of whether you use "pof", "pofind", or "superSubset" from the QCA package or "QCAfit" from the SetMethods package.
In terms of utility, this obviously depends on your research aims. As a standard function, I recommend working with QCAfit to investigate the potential necessity of all conditions in a single analytical step. Often, this is what you want to know - whether there are any conditions in your analysis that are in themselves consistently necessary.
The superSubset function is useful but it can also result in misleading conclusions, as when researchers try to make sense of necessary disjunctions with two or more elements. Of course, if there are theoretical expectations about specific SUIN conditions, then these could be tested with superSubset and/or with a specified argument in pof.
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