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measureR  

Tools for Educational and Psychological Measurement
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("measureR", "0.0.1")



Attach the package and use:
library("measureR")
Maintained by
Hasan Djidu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-10
Latest Update: 2026-02-10
Description:
'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>.Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis and Structural Equation Modeling are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience.
How to cite:
Hasan Djidu (2026). measureR: Tools for Educational and Psychological Measurement. R package version 0.0.1, https://cran.r-project.org/web/packages/measureR. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.0.1 (2026-02-10 22:40), 0.0.2 (2026-02-13 16:10)
Other packages that cited measureR R package
View measureR citation profile
Other R packages that measureR depends, imports, suggests or enhances
Complete documentation for measureR
Functions, R codes and Examples using the measureR R package
Full measureR package functions and examples
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