testTESA: Testing Schneider and Wagemann's Theory-Guided/Enhanced...

In AlrikThiem/QCApro: Professional Functionality for Performing and Evaluating Qualitative Comparative Analysis

Description

This evaluation function can be used to test the implications of Schneider and Wagemann's Theory-Guided/Enhanced Standard Analysis (T/ESA; Schneider and Wagemann 2013). It has initially been programmed for Thiem (2016).

Usage

testTESA(data, outcome = "", neg.out = FALSE, exo.facs = c(""), n.cut = 1, 
         incl.cut1 = 1, incl.cut0 = 1)

Arguments

data	A dataset of bivalent crisp-set factors or bivalent fuzzy-set factors or multivalent crisp-set factors.
outcome	The name of the outcome.
neg.out	Logical, use negation of outcome.
exo.facs	A character vector with the names of the exogenous factors.
n.cut	The minimum number of cases with set membership score above 0.5 for an output function value of "0", "1" or "C".
incl.cut1	The minimum sufficiency inclusion score for an output function value of "1".
incl.cut0	The maximum sufficiency inclusion score for an output function value of "0".

Details

The arguments data, outcome, exo.facs, n.cut, incl.cut1 and incl.cut0 are those of the eQMC function.

Value

A numeric vector with the percentages of remainder minterms that would have been used as simplifying assumptions by Quine-McCluskey optimization but that were declared to be insufficient for the outcome by T/ESA.

Contributors

Thiem, Alrik

: development, documentation, programming, testing

Author(s)

Alrik Thiem (Personal Website; ResearchGate Website)

References

Ragin, Charles C. 2009. “Qualitative Comparative Analysis Using Fuzzy Sets (fsQCA).” In Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related Techniques, ed. B. Rihoux and C. C. Ragin. London: Sage Publications, pp. 87-121.

Schneider, Carsten Q., and Claudius Wagemann. 2013. “Doing Justice to Logical Remainders in QCA: Moving Beyond the Standard Analysis.” Political Research Quarterly 66 (1):211-20. DOI: 10.1177/1065912912468269.

Thiem, Alrik. 2016. “Standards of Good Practice and the Methodology of Necessary Conditions in Qualitative Comparative Analysis.” Political Analysis 24 (4):478-84. DOI: 10.1093/pan/mpw024.

See Also

eQMC, truthTable, superSubset

Examples

# Schneider and Wagemann (2013, 212), using data from Ragin 
# (2009, 95), only present L and S as minimally necessary conditions
#-------------------------------------------------------------------

LIP <- data.frame(
 D = c(0.81,0.99,0.58,0.16,0.58,0.98,0.89,0.04,0.07,
       0.72,0.34,0.98,0.02,0.01,0.01,0.03,0.95,0.98),
 U = c(0.12,0.89,0.98,0.07,0.03,0.03,0.79,0.09,0.16,
       0.05,0.10,1.00,0.17,0.02,0.03,0.30,0.13,0.99),
 L = c(0.99,0.98,0.98,0.98,0.99,0.99,0.99,0.13,0.88,
       0.98,0.41,0.99,0.59,0.01,0.17,0.09,0.99,0.99),
 I = c(0.73,1.00,0.90,0.01,0.08,0.81,0.96,0.36,0.07,
       0.01,0.47,0.94,0.00,0.11,0.00,0.21,0.67,1.00),
 G = c(0.43,0.98,0.91,0.91,0.58,0.95,0.31,0.43,0.13,
       0.95,0.58,0.99,0.00,0.01,0.84,0.20,0.91,0.98),
 S = c(0.05,0.95,0.89,0.12,0.77,0.95,0.05,0.06,0.42,
       0.92,0.05,0.95,0.12,0.05,0.21,0.06,0.95,0.95)
)

rownames(LIP) <- c("AT","BE","CZ","EE","FI","FR","DE","GR","HU",
                   "IE","IT","NL","PL","PT","RO","ES","SE","UK")

testTESA(LIP, outcome = "S", incl.cut1 = 0.75)                   

AlrikThiem/QCApro documentation built on May 5, 2019, 4:55 a.m.