qfsi {qmethod} | R Documentation |
Q Methodology: Factor Stability index
Description
Calculates a Factor Stability index and a Normalised Factor Stability index to bootstrapped Q method results (experimental).
Usage
qfsi(nfactors, nstat, qscores, zsc_bn, qm)
Arguments
nfactors |
number of factors to extract. |
nstat |
number of statements in the study. |
qscores |
all possible factor score values in the Q grid distribution. |
zsc_bn |
bootstrapped factor scores. |
qm |
original Q method results from |
Details
Applies the Factor Stability index to a bootstrapped Q method results. Returns a data frame with two variables and as many rows as factors extracted. The first variable is the raw Factor Stability index. The second variable is the Normalised Factor Stability index which ranges from 0 to 1.
Note
IMPORTANT: This function is experimental. Please contact the author for details.
Author(s)
Aiora Zabala
See Also
Examples
data(lipset)
boots <- qmboots(lipset[[1]], nfactors=3, nsteps=10,
rotation="varimax", indet="qindtest",
fsi=FALSE)
fsi <- qfsi(nfactors=3, nstat=33, qscores=boots[[6]],
zsc_bn=boots[[1]][[1]], qm=boots[[5]])
fsi
[Package qmethod version 1.8.4 Index]