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QCA3 (version 0.0-8)

directCalibration: Calibration in fuzzy set QCA.

Description

Direct method of calibration in fuzzy set QCA.

Usage

directCalibration(x, fullin, fullout, crossover, infz = 0.953, outfz = 0.047, details = FALSE)

Arguments

x
an interval variable to be converted to fuzzy set score.
fullin
scalar indicating full membership.
fullout
scalar indicating the full non-membership.
crossover
scalar indicating cross over point.
infz
fuzzy set score of full membership, corresponding to fullin.
outfz
fuzzy set score of full non-membership, corresponding to fullout.
details
logical.

Value

When details is TRUE, it the result is a data frame. Otherwise, the value is a numeric vector of fuzzy set score.

Details

Usually, the sum of infz and outfz should be 1. In Ragin (2008), infz is 0.953 and outfz is 0.047, which lead to the log odd of membership being (proximitely) 3.0 and -3.0.

References

Ragin, Charles C. 2008. "Redesigning social inquiry: fuzzy sets and beyond." Chapter 5. Chicago: University of Chicago Press.

Examples

Run this code
 directCalibration(Lipset_fs$Developed,800,300,550)

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