Exploratory Likert Scaling

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) ), ELiS confronts these problems. As a result, 'elisr' provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.


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Reference manual

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install.packages("elisr")

0.1.1 by Steven Bißantz, a month ago


https://github.com/sbissantz/elisr


Report a bug at https://github.com/sbissantz/elisr/issues


Browse source code at https://github.com/cran/elisr


Authors: Steven Bißantz [aut, cre] , Thomas Müller-Schneider [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats

Suggests covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat


See at CRAN