qfsi: Q Methodology: Factor Stability index

In qmethod: Analysis of Subjective Perspectives Using Q Methodology

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.

Note

IMPORTANT: This function is experimental. Please contact the author for details.

Author(s)

Aiora Zabala

See Also

qmboots.

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

qmethod documentation built on April 1, 2023, 12:18 a.m.