qmethod: qbstep – R documentation

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qmethod

qbstep

Q Methodology: Single step for the bootstrap

Description

Bootstraping of Q methodology using PCA.

Usage

qbstep(subdata, subtarget, indet, 
       nfactors, nqsorts, nstat, 
       qmts = qmts, qmts_log = qmts_log, 
       rotation = "unknown", 
       flagged = flagged, cor.method="pearson", ...)

Arguments

`subdata`	resampled dataset of Q-sorts.
`subtarget`	target matrix, adapted to match the rows of the resampled dataset.
`indet`	method to solve the double indeterminacy issue when bootstrapping Principal Components Analysis (PCA). `"procrustes"` for procrustes rotation from GPArotation, `"qindtest"` for simple solution valid for at least up to 3 factors extracted (see references), `"both"` for a `"qindtest"` and a `"procrustes"` rotation, or `"none"` for no solution. The latter is not recommended because it introduces inflated variability. If `"none"` is selected, each replication is rotated using the method set in `rotation`.
`nfactors`	number of factors in the study.
`nqsorts`	number of Q-sorts in the study.
`nstat`	number of statements in the study.
`qmts`	data frame with two rows and at least one column. This is automatically created when this function is called from `qmboots`(see Note below).
`qmts_log`	data frame with two rows and at least one column. This is automatically created when this function is called from `qmboots`(see Note below).
`rotation`	rotation method, defaults to `"none"`.
`flagged`	matrix or data frame of `nqsorts` rows and `nfactors` columns, with `TRUE` values for the Q-sorts that are flagged. Automatic flagging can be aplied using `qflag`. Manual flagging can be done by providing a logical matrix with `nqsorts` rows and `nfactors` columns to the argument `flagged`.
`cor.method`	character string indicating which correlation coefficient is to be computed, to be passed on to the function `cor`: `"pearson"` (default), `"kendall"`, or `"spearman"`.
`...`	other arguments to be passed on to `qzscores` or to `principal`.

Details

This function performs a single step within a bootstrap of Q methodology data. It takes one resample, performs the Q method analysis, checks for indeterminacy issues, and corrects them if necessary by calling the function qindtest or qpcrustes.

Value

step_res

summary of the analysis.

Note

this function is called within the function qmboots. Not intended to be used separately.

Author(s)

Aiora Zabala

References

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