qmethod (version 1.8)

qfcharact: Q methodology: factor characteristics

Description

Calculates the general factor characteristics: number of flagged Q-sorts, composite reliability, standard errors of factor scores, and comparisons between factors.

Usage

qfcharact(loa, flagged, zsc, nfactors, av_rel_coef = 0.8)

Arguments

loa

matrix or data frame of as many rows as Q-sorts (nqsorts) and nfactors columns, with values of factor loadings for Q-sorts, calculated using, e.g., principal(...)$loadings.

flagged

matrix or data frame of type logical, indicating which Q-sorts are flagged for each factor. Provided manually or automatically using qflag.

zsc

a data frame with the z-scores for statements, calculated using qzscores.

nfactors

number of factors extracted.

av_rel_coef

average reliability coefficient (the individual variability of a respondent), set by default as 0.8.

Value

Returns a list with three objects:

characteristics

data frame with the following values for each factor:

  • "av_rel_coef": average reliability coefficient.

  • "nload": number of loading Q-sorts.

  • "eigenvals": eigenvalues.

  • "expl_var": percentage of explained variance.

  • "reliability": composite reliability.

  • "se_fscores": standard error of factor scores (SE).

cor_zsc

matrix of correlation coefficients between factors z-scores.

sd_dif

matrix of standard errors of differences (SED).

References

Brown, S. R., 1980 Political subjectivity: Applications of Q methodology in political science, New Haven, CT: Yale University Press.

See further references on the methodology in qmethod-package.