Applies the two standard algorithms to pre-flag Q-sorts automatically, for posterior calculation of the statement scores.
qflag(loa, nstat)
a Q-sort factor loading matrix obtained, for example from unclass(principal(...)$loadings), or from qmethod(...)$loa.
unclass(principal(...)$loadings)
qmethod(...)$loa
number of statements in the study.
Aiora Zabala
These are the two standard criteria for automatic flagging used in Q method analysis:
Q-sorts which factor loading is higher than the threshold for p-value < 0.05, and
Q-sorts which square loading is higher than the sum of square loadings of the same Q-sort in all other factors.
Returns a logical matrix with Q-sorts as rows, and factors as columns.
Brown, S. R., 1980 Political subjectivity: Applications of Q methodology in political science, New Haven, CT: Yale University Press.
Van Exel, J., de Graaf, G., Rietveld, P., 2011. "'I can do perfectly well without a car!'" Transportation 38, 383-407 (Page 388, footnote 8).
See further references on the methodology in qmethod-package.
qmethod-package
data(lipset) library(psych) loa <- unclass(principal(lipset[[1]], nfactors = 3, rotate = "varimax")$loadings) flagged <- qflag(loa = loa, nstat = nrow(lipset[[1]])) summary(flagged)
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