SetMethods (version 2.4)

theory.fit: Parameters of fit for the intersections between theory and the empirical solution.

Description

Function that returns parameters of fit for the intersections between theory and the empirical solution.

Usage

theory.fit(theory_data)

Arguments

theory_data

A data frame with the intersections between theory and empirics. Usually the output of the theory.data function should be inputed.

References

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 membership of cases in the intersections between theory and 
# the second intermediate solution and place it in an object:

INT <- theory.data(theory = t, empirics = sol_yi, outcome = "EXPORT", sol = 2)

# Get the parameters of fit for the intersections between theory and the empirical solution
# using the output of the theory.data function:

theory.fit(INT)

# }