ShinyItemAnalysis is an R package and an interactive online application for the psychometric analysis of
educational tests, psychological assessments, health-related and other types of multi-item measurements,
or ratings from multiple raters.
It was developed with the aim to support teaching of psychometric concepts, present psychometric
research and to empower routine psychometric analysis.
Wide range of methods
Exploration of total and standard scores
Analysis of measurement error and reliability
Analysis of correlation structure and validity
Traditional item analysis
Item analysis with regression models
Item analysis with IRT models
Detection of differential item functioning
... and more via add-on modules
ShinyItemAnalysis provides model equations, parameter estimates and their interpretation.
Selected R code
All methods include sample R code which is ready to copy and paste into R and run locally.
Several toy data sets are ready to use. You can also upload and analyze your own data.
ShinyItemAnalysis offers automatic generation of HTML and PDF reports.
Licence and citation
ShinyItemAnalysis is a free software and you can redistribute it and or modify it under the terms of the
GNU GPL 3.
When using ShinyItemAnalysis software, we appreciate if you include a reference in your publications. To
cite the software, please, use:
Martinková, P., & Drabinová, A. (2018).
ShinyItemAnalysis for teaching psychometrics and to enforce routine analysis of educational
tests. The R Journal, 10(2), 503-515. https://doi.org/10.32614/RJ-2018-074
In Czech written papers you can also use
Martinková, P., Drabinová, A., & Houdek, J. (2017).
ShinyItemAnalysis: Analýza přijímacích a jiných znalostních či psychologických testů.
TESTFÓRUM, 6(9), 16-35. https://doi.org/10.5817/TF2017-9-129
May 8, 2023
ShinyItemAnalysis version 1.5.0 was released! 🎉
The app is now extendable via add-on modules, new datasets were added, and DIF analysis now offers
combinations (simple and iterative) of purification and p value adjustment.
See the full changelog here.
Mar 29, 2023
A collection of ShinyItemAnalysis modules were releases in a R package
SIAmodules. They are no longer hosted at a standalone webpage, but dynamicaly recognized and
added in ShinyItemAnalysis version ≥ 1.5.0 You can now create your own SIA module referring to the
SIAmodules source code. A companion tool to ease the creation is in the development. Stay tuned!
ShinyItemAnalysis featured in recent paper on DIF detection with the difNLR package, published in The R journal.
January 20, 2020
ShinyItemAnalysis includes data and interactive demonstration for recent study on propensity score
matching and differential item change functioning analysis, published in Learning and