SetMethods (version 2.4)

matches.suf.typdcn: Match typical cases and deviant consistency cases with regards to sufficiency.

Description

A function that matches typical cases and deviant consistency cases with regards to sufficiency.

Usage

matches.suf.typdcn(results, outcome, neg.out=FALSE, sol=1, max_pairs = 5)

Arguments

results

An object of class "qca".

outcome

A character string with the name of the outcome in capital letters. When performing pimdata 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 results. Changing the name in the argument outcome or using a tilde is not necessary.

neg.out

Logical. Should the negated outcome be used?

sol

A numeric vector where the first number indicates the number of the solution in case of model ambiguity according to the order in the "qca" object.

max_pairs

Maximum number of pairs to extract.

References

Schneider, C. Q., Rohlfing, I. 2013. Combining QCA and Process Tracing in Set-Theoretic Multi-Method Research. Sociological Methods Research 42(4): 559-597

See Also

minimize

Examples

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

data(SCHF)

# Get the parsimonious solution:


sol_yp <- minimize(SCHF, outcome = "EXPORT",
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE)

# 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))
                

# Match typical cases and deviant consistency cases for the parsimonious solution:

matches.suf.typdcn(results = sol_yp, outcome = "EXPORT")

# Match typical cases and deviant consistency cases for the parsimonious solution
# and return only the best 3 pairs:

matches.suf.typdcn(results = sol_yp, outcome = "EXPORT", max_pairs=3)

# Match typical cases and deviant consistency cases for the intermediate solution:

matches.suf.typdcn(results = sol_yi, outcome = "EXPORT")

# Get the parsimonious solution for the absence of the outcome:

sol_nyp <- minimize(SCHF, outcome = "EXPORT", neg.out = TRUE,
                conditions = c("EMP","BARGAIN","UNI","OCCUP","STOCK", "MA"),
                incl.cut = .9, 
                include = "?", 					   
                details = TRUE, show.cases = TRUE)

# Match typical cases and deviant consistency cases for the second 
# parsimonious solution for the absence of the outcome:

matches.suf.typdcn(results = sol_nyp, outcome = "EXPORT", neg.out = TRUE, sol = 2)
# }