An alternative to Exploratory Factor Analysis (EFA) for metrical data in R. Drawing on characteristics of classical test theory, Exploratory Likert Scaling (ELiS) supports the user exploring multiple one-dimensional data structures. In common research practice, however, EFA remains the go-to method to uncover the (underlying) structure of a data set. Orthogonal dimensions and the potential of overextraction are often accepted as side effects. As described in Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result, 'elisr' provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats (≥ 4.0.0) |
| Suggests: | covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2021-05-15 |
| DOI: | 10.32614/CRAN.package.elisr |
| Author: | Steven Bißantz [aut, cre], Thomas Müller-Schneider [ctb] |
| Maintainer: | Steven Bißantz <steven.bissantz at gmail.com> |
| BugReports: | https://github.com/sbissantz/elisr/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/sbissantz/elisr |
| NeedsCompilation: | no |
| Language: | en, de |
| Materials: | README, NEWS |
| CRAN checks: | elisr results |
| Reference manual: | elisr.html , elisr.pdf |
| Vignettes: |
elisr companion (source, R code) |
| Package source: | elisr_0.1.1.tar.gz |
| Windows binaries: | r-devel: elisr_0.1.1.zip, r-release: elisr_0.1.1.zip, r-oldrel: elisr_0.1.1.zip |
| macOS binaries: | r-release (arm64): elisr_0.1.1.tgz, r-oldrel (arm64): elisr_0.1.1.tgz, r-release (x86_64): elisr_0.1.1.tgz, r-oldrel (x86_64): elisr_0.1.1.tgz |
| Old sources: | elisr archive |
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