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

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

loa

a matrix or a data frame containing raw data, with statements as rows, Q-sorts as columns, and the scores of the columns in the distribution in each cell.

flagged

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

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zsc

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

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nfactors

number of factors extracted.

floa

a data frame with the factor loadings, calculated using PCA or Centroid factor analysis.

av_rel_coef

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

Returns a list with three objects:

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).

matrix of correlation coefficients between factors z-scores.

matrix of standard errors of differences (SED).

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`

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