qmb.summary: Q Methodology: Summary of bootstrap results

In aiorazabala/qmethod: Analysis of Subjective Perspectives Using Q Methodology

Q Methodology: Summary of bootstrap results

Description

Summarises bootstrap results for Q-sorts and statements into two tables.

Usage

qmb.summary(qmboots)

Arguments

qmboots

an object of bootstrap results, as produced by qmboots.

Value

Returns a list with two data frames:

qsorts

data frame with Q-sort as rows, and the following columns: the factor loadings from the standard analysis (*.std), the bootstrap (*.loa), the bootstrap SE (*.SE), the frequency of flagging (*.freq*) and the estimate of bias (*.bias).

statements

data frame with statements as rows, and the following columns: the z-scores from the standard analysis (*.std), from the bootstrap (*.bts), bootstrap SE (*.SE), estimate of bias of z-scores (*.bias), factor scores from the standard analysis (fsc_f*), from the bootstrap (fsc.bts.*), estimate of bias of factor scores, distinguishing and consensus statements from the standard results (see qdc) and from the bootstrap values.

Author(s)

Aiora Zabala

References

Zabala, Pascual (2016) Bootstrapping Q Methodology to Improve the Understanding of Human Perspectives. PLoS ONE 11(2): e0148087.

See Also

qmethod, qmboots

Examples

data(lipset)
boots <- qmboots(lipset[[1]], nfactors = 3, nsteps = 50, 
                 load = "auto", rotation = "varimax",
                 indet = "qindet", fsi = TRUE)

boots.summary <- qmb.summary(boots)

# First rows of the summary for Q-sorts:
head(boots.summary$qsorts)

# First rows of the summary for statements:
head(boots.summary$statements)

aiorazabala/qmethod documentation built on Nov. 23, 2023, 1:25 a.m.