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elisr  

Exploratory Likert Scaling
View on CRAN: Click here


Download and install elisr package within the R console
Install from CRAN:
install.packages("elisr")

Install from Github:
library("remotes")
install_github("cran/elisr")

Install by package version:
library("remotes")
install_version("elisr", "0.1.1")



Attach the package and use:
library("elisr")
Maintained by
Steven Bißantz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-06
Latest Update: 2021-05-15
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 M
How to cite:
Steven Bißantz (2021). elisr: Exploratory Likert Scaling. R package version 0.1.1, https://cran.r-project.org/web/packages/elisr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-05-06 09:50)
Other packages that cited elisr R package
View elisr citation profile
Other R packages that elisr depends, imports, suggests or enhances
Complete documentation for elisr
Functions, R codes and Examples using the elisr R package
Some associated functions: checks . disjoint . msdf . overlap . print.msdf . trust . utilities . workhorses . 
Some associated R codes: checks.R . disjoint.R . overlap.R . print.msdf.R . star_msdf.R . trust.R . utilities.R . workhorses.R . zzz.R .  Full elisr package functions and examples
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