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]

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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

7 exports 15 stars 2.16 score 1 dependencies 6 scripts 547 downloads

Last updated 2 months agofrom:6b7edcfcdd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:discretize_densityestimate_mean_and_sdestimate_paramsplot_likert_transformresponse_proprlikertsimulate_likert

Dependencies:mvtnorm

Using latent2likert

Rendered fromusing_latent2likert.Rmdusingknitr::rmarkdownon Aug 25 2024.

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