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DESCRIPTION
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DESCRIPTION
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Type: Package
Package: elisr
Title: Exploratory Likert Scaling
Version: 0.1.1
Authors@R:
c(person(given = "Steven",
family = "Bißantz",
role = c("aut", "cre"),
email = "steven.bissantz@gmail.com"),
person(given = "Thomas",
family = "Müller-Schneider",
role = "ctb",
email = "tms@uni-landau.de"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/sbissantz/elisr
BugReports: https://github.com/sbissantz/elisr/issues
Depends:
R (>= 4.0.0)
Imports:
stats (>= 4.0.0)
Suggests:
covr,
devtools,
knitr,
pkgdown,
psych,
rmarkdown,
testthat (>= 3.0.0)
VignetteBuilder:
knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en, de
LazyData: true
RoxygenNote: 7.1.1