Synthesise and Correlate Likert Scale and Rating-Scale Data Based on Summary Statistics R package LikertMakeR version 2.3.0 Generate and correlate synthetic Likert and rating-scale questionnaire responses with predefined means, standard deviations, Cronbach's Alpha, Factor Loading table, coefficients, and other summary statistics. It can be used to simulate Likert data, construct multi-item scales, generate correlation matrices, and create example survey datasets for teaching statistics, psychometrics, and methodological research. Worked examples and documentation are available in the package articles, accessible via the package website, <https://winzarh.github.io/LikertMakeR/>. Software Depends: R (>= 4.2.0) Imports: dplyr, gtools, Matrix, matrixStats, Rcpp, stats, tibble, utils, LinkingTo: Rcpp, RcppArmadillo Suggests: effectsize, kableExtra, knitr, ggplot2, ggrepel, psych, polycor, psychTools, rmarkdown, testthat (>= 3.0.0), tidyr Hume Winzar <winzar@gmail.com> Comprehensive R Archive Network (CRAN) Hume Winzar [cre, aut] (ORCID: <https://orcid.org/0000-0001-7475-2641>) MIT + file LICENSE (https://CRAN.R-project.org/package=LikertMakeR/LICENSE) 2026-05-21 application/tgz https://CRAN.R-project.org/package=LikertMakeR doi:10.32614/CRAN.package.LikertMakeR en-GB