qmethod (version 1.5.4)

qfsi: 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 qmethod function.

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.

See Also

qmboots.

Examples

# NOT RUN {
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
# }