Theory evaluation
Function to enable theory evaluation, as introduced by Ragin (1987, p.118)
and extended Schneider & Wageman (2012, p.295), by producing parameters of fit
for all possible intersections between a given theoretical statement (a SOP
expresison) and the solutions found by function minimize().
modelFit(model, theory = "")
model |
A minimization object of class |
theory |
Character, a SOP expression. |
Following Ragin's (1987) original work, theory evaluation amounts to intersecting a theoretical expectation with a model resulting from a minimization process.
There are in fact four intersections: presence - presence, presence - absence,
absence - presence and absence - absence, where by “absence” is actually
meant a negation of an expression using the function negate().
When multiple models exist, all of them are automatically detected, negated and intersection with the theory. Intersections and parameters of fit are going to be produced using a single theoretical expression.
A list containing objects of class "QCA_pof" with the parameters of fit. For a
single theoretical expression and a single model, the object is a simple
"QCA_pof" object.
Adrian Dusa
Ragin, C.C. (1987) The Comparative Method: Moving beyond Qualitative and Quantitative Strategies. Berkeley: University of California Press.
Schneider, C.Q.; Wagemann, C. (2012) Set-Theoretic Methods for the Social Sciences: A Guide to Qualitative Comparative Analysis (QCA). Cambridge: Cambridge University Press.
# Lipset fuzzy version data ttLF <- truthTable(LF, outcome = SURV, incl.cut = 0.8) # parsimonious solution pLF <- minimize(ttLF, include = "?") modelFit(model = pLF, theory = "DEV*STB") # hypothetical exploration of intermediate solutions iLF <- minimize(ttLF, include = "?", dir.exp = "1,0,0,0,0") modelFit(iLF, "DEV*STB")
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