Package: latent2likert 1.2.2

latent2likert: Converting Latent Variables into Likert Scale Responses

Effectively simulates the discretization process inherent to Likert scales while minimizing distortion. It converts continuous latent variables into ordinal categories to generate Likert scale item responses. Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.

Authors:Marko Lalovic [aut, cre]

latent2likert_1.2.2.tar.gz
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latent2likert_1.2.2.tgz(r-4.4-any)latent2likert_1.2.2.tgz(r-4.3-any)
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latent2likert.pdf |latent2likert.html
latent2likert/json (API)
NEWS

# Install 'latent2likert' in R:
install.packages('latent2likert', repos = c('https://markolalovic.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/markolalovic/latent2likert/issues

Datasets:
  • part_bfi - Agreeableness and Gender Data

On CRAN:

likertlikert-datasimulationsurvey-data

5.88 score 17 stars 6 scripts 346 downloads 7 exports 1 dependencies

Last updated 1 months agofrom:90c53cff3f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:discretize_densityestimate_mean_and_sdestimate_paramsplot_likert_transformresponse_proprlikertsimulate_likert

Dependencies:mvtnorm

Using latent2likert

Rendered fromusing_latent2likert.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2024-07-26
Started: 2024-06-19