directCalibration: Calibration in fuzzy set QCA.

In QCA3: Yet Another Package for Qualitative Comparative Analysis

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.

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.

Value

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

Author(s)

Ronggui HUANG

References

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

Examples

 directCalibration(Lipset_fs$Developed,800,300,550)

QCA3 documentation built on Jan. 15, 2017, 6:58 p.m.