Probablemente la muestra es muy pequeño, por lo tanto debería aplicar una T de student para saber si con esos casos basta o, por el contrario, agregar más países a la muestra.

Dear Victor,

fs/QCA 2.5/3.0 often spits out "ERROR (Quine-McCluskey): The 1 Matrix is Empty" or "ERROR(Quine-McCluskey): The 1 Matrix Contains All Configurations".

The first error message is returned when all your output values are negative, i.e. when there is not a single row in the truth table which is accepted as being sufficient for the outcome. This happens when your consistency cut-off is higher than the consistency score of the best-performing row).

The seond error message is the opposite. It is returned when all your output values are positive, i.e. when there is not a single row in the truth table which is accepted as not being sufficient for the outcome. This happens when your consistency cut-off is lower than the consistency score of the worst-performing row).

Neither case is good of course. For QCA to work, you need at least one row that is negative and one row that is positive.

However, you will also notice that even though all of your rows are positive / negative, fs/QCA will still produce complex and intermediate solutions. This is only possible because, for producing these two solution types, fs/QCA adds artifical data to your data set through an algorithmic back door (if you want to know more about this process, let me know, it would lead too far here). In other words, these two solution types enlarge your data set without you noticing, and with some quite desastrous consequences (it can be shown that both solution types not only produce inferences beyond your data, but that these inferences are often leading you way off path).

I hope this helps.

Best wishes,

Alrik

thank you, it did help a lot indeed!

hi

It is a terminological overlap: in your field (engineering) QCA means Quantum-dot cellular automata, whereas in my field (sociology) QCA means Qualitative Comparative Analysis.

My package QCA will certainly not help you.