qmethod: qfsi – R documentation

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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.

Note

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

Author(s)

Aiora Zabala

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

Analysis of Subjective Perspectives Using Q Methodology

v1.8

GPL (>= 2)

Authors

Aiora Zabala [aut, cre] (Main author, <https://orcid.org/0000-0001-8534-3325>), Maximilian Held [aut] (Author of additional data management functions), Frans Hermans [aut] (Author of centroid extraction function)

Initial release

2021-03-12