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 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.
Authors:
elisr_0.1.1.tar.gz
elisr_0.1.1.zip(r-4.5)elisr_0.1.1.zip(r-4.4)elisr_0.1.1.zip(r-4.3)
elisr_0.1.1.tgz(r-4.4-any)elisr_0.1.1.tgz(r-4.3-any)
elisr_0.1.1.tar.gz(r-4.5-noble)elisr_0.1.1.tar.gz(r-4.4-noble)
elisr_0.1.1.tgz(r-4.4-emscripten)elisr_0.1.1.tgz(r-4.3-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
- trust - German General Social Survey's Trust Items
Last updated 3 years agofrom:3faf47bf43. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:disjointis.msdfoverlap
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Miscellaneous input validation | checks check_comp check_df check_mrit check_msdf check_neg check_ovlp check_sclvals compare_sclvals |
Multiple scaling - the disjoint way | disjoint |
Create and test for a multiple scaled data frame | is.msdf msdf new_msdf |
Multiple scaling - the overlapping way | overlap |
Print method for a multiple scaled data frame | print.msdf |
German General Social Survey's Trust Items | trust |
Miscellaneous utility functions | calc_alpha calc_rbar calc_rit extreb_itms extr_core extr_core_nms nme_msdf rvrs_note rvrs_var utilities |
elisr's quadriga | disj_nci disj_pci ovlp_nci ovlp_pci workhorses |