semTools: efaUnrotate – R documentation

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efaUnrotate

Analyze Unrotated Exploratory Factor Analysis Model

Description

This function will analyze unrotated exploratory factor analysis model. The unrotated solution can be rotated by the orthRotate and oblqRotate functions.

Usage

efaUnrotate(data = NULL, nf, varList = NULL, start = TRUE, aux = NULL, ...)

Arguments

`data`	A target `data.frame`
`nf`	The desired number of factors
`varList`	Target observed variables. If not specified, all variables in `data` will be used (or `sample.cov` if `is.null(data)`; see `cfa` for argument descriptions).
`start`	Use starting values in the analysis from the `factanal` `function`. If `FALSE`, the starting values from the `lavaan` package will be used. `TRUE` is ignored with a warning if the `aux` argument is used.
`aux`	The list of auxiliary variables. These variables will be included in the model by the saturated-correlates approach to account for missing information.
`...`	Other arguments in the `cfa` function in the `lavaan` package, such as `ordered`, `se`, `estimator`, or `sample.cov` and `sample.nobs`.

Details

This function will generate a lavaan script for unrotated exploratory factor analysis model such that (1) all factor loadings are estimated, (2) factor variances are fixed to 1, (3) factor covariances are fixed to 0, and (4) the dot products of any pairs of columns in the factor loading matrix are fixed to zero (Johnson & Wichern, 2002). The reason for creating this function to supplement the factanal function is that users can enjoy some advanced features from the lavaan package, such as scaled χ^2, diagonally weighted least squares estimation for ordinal indicators, or full-information maximum likelihood (FIML) to handle incomplete data.

Value

A lavaan output of unrotated exploratory factor analysis solution.

Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

Terrence D. Jorgensen (University of Amsterdam; TJorgensen314@gmail.com)

Examples

unrotated <- efaUnrotate(HolzingerSwineford1939, nf = 3,
                         varList = paste0("x", 1:9), estimator = "mlr")
summary(unrotated, std = TRUE)
inspect(unrotated, "std")

dat <- data.frame(HolzingerSwineford1939,
                  z = rnorm(nrow(HolzingerSwineford1939), 0, 1))
unrotated2 <- efaUnrotate(dat, nf = 2, varList = paste0("x", 1:9), aux = "z")

semTools

Useful Tools for Structural Equation Modeling

v0.5-4

GPL (>= 2)

Authors

Terrence D. Jorgensen [aut, cre] (<https://orcid.org/0000-0001-5111-6773>), Sunthud Pornprasertmanit [aut], Alexander M. Schoemann [aut] (<https://orcid.org/0000-0002-8479-8798>), Yves Rosseel [aut] (<https://orcid.org/0000-0002-4129-4477>), Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] (<https://orcid.org/0000-0002-2951-6647>), James Selig [ctb], Aaron Boulton [ctb], Kristopher Preacher [ctb], Donna Coffman [ctb], Mijke Rhemtulla [ctb] (<https://orcid.org/0000-0003-2572-2424>), Alexander Robitzsch [ctb] (<https://orcid.org/0000-0002-8226-3132>), Craig Enders [ctb], Ruben Arslan [ctb] (<https://orcid.org/0000-0002-6670-5658>), Bell Clinton [ctb], Pavel Panko [ctb], Edgar Merkle [ctb] (<https://orcid.org/0000-0001-7158-0653>), Steven Chesnut [ctb], Jarrett Byrnes [ctb], Jason D. Rights [ctb], Ylenio Longo [ctb], Maxwell Mansolf [ctb] (<https://orcid.org/0000-0001-6861-8657>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>), Mikko Rönkkö [ctb] (<https://orcid.org/0000-0001-7988-7609>)

Initial release