SetMethods (version 2.4)

cases.theory.evaluation: Names of cases in the intersections between theory and the empirical solution.

Description

Function that returns names of cases in the intersections between theory and the empirical solution.

Usage

cases.theory.evaluation(theory, empirics, outcome, sol = 1, use.tilde = TRUE)

Arguments

theory

A character string specifying the theory. Unions of conditions are performed with a "+", while intersections are performed with a "*". If use.tilde is set to TRUE, conditions should be capitalized and negated conditions should be inserted with a "~". If use.tilde is set to FALSE, negation can be denoted with lowercase letters, but the output will always transform negation to a tilde.

empirics

An object of class 'qca'. When performing analyses for the negated outcome, just use the results from the minimize() function for the negation of the outcome.

outcome

A character string with the name of the outcome. When performing analyses of the sufficient solution for the negated outcome one must only use the minimize() result from the sufficiency analysis of the negated outcome in the argument empirics. Changing the name in the argument outcome or using a tilde is not necessary.

sol

A vector where the first number indicates the number of the conservative or parsimonious solution according to the order in the "qca" object. For more complicated structures of model ambiguity, the intermediate solution can also be specified by using a character string of the form "c1p3i2" where c = conservative solution, p = parsimonious solution and i = intermediate solution.

use.tilde

Logical. If the theory or the solution formula do not use tilde for negation, set use.tilde to FALSE to transform negation with a tilde.

References

Ragin, C. C. 1987. The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press, pp. 118-121.

Schneider, C. Q., Wagemann, C. 2012. Set-Theoretic Methods for the Social Sciences: A Guide to Qualitative Comparative Analysis. Cambridge: Cambridge University Press, chapter 11.3.

See Also

minimize

Examples

# NOT RUN {
# Import your data. For example:

data(SCHF)

# Get the intermediate solution:

sol_yi <- minimize(SCHF, outcome = "EXPORT",
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE, dir.exp = c(0,0,0,0,0,0))
                
# Specify the theory. Let's assume the theory says that the 
# absence of EMP and the presence of MA is sufficient for EXPORT:

t<-"~EMP*MA"


# Get the names of cases in the intersections between theory and the empirical solution:

cases.theory.evaluation(theory = t, empirics = sol_yi, outcome = "EXPORT", sol = 2, use.tilde=FALSE)

# }