Package: elisr 0.1.1

elisr: 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 MÞller-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.

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

elisr_0.1.1.tar.gz
elisr_0.1.1.zip(r-4.7)elisr_0.1.1.zip(r-4.6)elisr_0.1.1.zip(r-4.5)
elisr_0.1.1.tgz(r-4.6-any)elisr_0.1.1.tgz(r-4.5-any)
elisr_0.1.1.tar.gz(r-4.6-any)elisr_0.1.1.tar.gz(r-4.5-any)
elisr_0.1.1.tgz(r-4.5-emscripten)
elisr.pdf |elisr.html
elisr/json (API)
NEWS

# Install 'elisr' in R:
install.packages('elisr', repos = c('https://sbissantz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sbissantz/elisr/issues

Datasets:
  • trust - German General Social Survey's Trust Items

On CRAN:

Conda:

3.70 score 1 stars 4 scripts 297 downloads 3 exports 0 dependencies

Last updated from:3faf47bf43. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK205
linux-release-x86_64OK124
macos-release-arm64OK158
macos-oldrel-arm64OK193
windows-develOK98
windows-releaseOK82
windows-oldrelOK93
wasm-releaseOK102

Exports:disjointis.msdfoverlap

Dependencies:

elisr companion

Rendered fromelisr.Rmdusingknitr::rmarkdownon Apr 10 2026.

Last update: 2021-05-01
Started: 2021-03-23

Readme and manuals

Help Manual

Help pageTopics
Miscellaneous input validationchecks check_comp check_df check_mrit check_msdf check_neg check_ovlp check_sclvals compare_sclvals
Multiple scaling - the disjoint waydisjoint
Create and test for a multiple scaled data frameis.msdf msdf new_msdf
Multiple scaling - the overlapping wayoverlap
Print method for a multiple scaled data frameprint.msdf
German General Social Survey's Trust Itemstrust
Miscellaneous utility functionscalc_alpha calc_rbar calc_rit extreb_itms extr_core extr_core_nms nme_msdf rvrs_note rvrs_var utilities
elisr's quadrigadisj_nci disj_pci ovlp_nci ovlp_pci workhorses