parameters: convert_efa_to_cfa – R documentation

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convert_efa_to_cfa

Conversion between EFA results and CFA structure

Description

Enables a conversion between Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) lavaan-ready structure.

Usage

convert_efa_to_cfa(model, ...)

## S3 method for class 'fa'
convert_efa_to_cfa(model, threshold = "max", names = NULL, ...)

efa_to_cfa(model, ...)

Arguments

`model`	An EFA model (e.g., a `psych::fa` object).
`...`	Arguments passed to or from other methods.
`threshold`	A value between 0 and 1 indicates which (absolute) values from the loadings should be removed. An integer higher than 1 indicates the n strongest loadings to retain. Can also be `"max"`, in which case it will only display the maximum loading per variable (the most simple structure).
`names`	Vector containing dimension names.

Value

Converted index.

Examples

library(parameters)
if (require("psych") && require("lavaan")) {
  efa <- psych::fa(attitude, nfactors = 3)

  model1 <- efa_to_cfa(efa)
  model2 <- efa_to_cfa(efa, threshold = 0.3)

  anova(
    lavaan::cfa(model1, data = attitude),
    lavaan::cfa(model2, data = attitude)
  )
}

parameters

Processing of Model Parameters

v0.13.0

GPL-3

Authors

Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab), Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>, @jeffreymgirard)

Initial release