https://github.com/patriciamar/ShinyItemAnalysis
Test and Item Analysis via Shiny
https://github.com/patriciamar/ShinyItemAnalysis
assessment differential-item-functioning item-analysis item-response-theory psychometrics shiny
Last synced: 4 months ago
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Test and Item Analysis via Shiny
- Host: GitHub
- URL: https://github.com/patriciamar/ShinyItemAnalysis
- Owner: patriciamar
- Created: 2016-11-15T15:21:55.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-11-27T11:03:43.000Z (5 months ago)
- Last Synced: 2024-11-27T12:20:04.464Z (5 months ago)
- Topics: assessment, differential-item-functioning, item-analysis, item-response-theory, psychometrics, shiny
- Language: R
- Homepage: http://www.ShinyItemAnalysis.org
- Size: 13.2 MB
- Stars: 41
- Watchers: 7
- Forks: 22
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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- jimsghstars - patriciamar/ShinyItemAnalysis - Test and Item Analysis via Shiny (R)
README
# ShinyItemAnalysis 
Test and item analysis via shiny
[](https://github.com/patriciamar/ShinyItemAnalysis/actions)
[](https://shiny.cs.cas.cz/ShinyItemAnalysis/)
[](https://CRAN.R-project.org/package=ShinyItemAnalysis)
## Overview
`ShinyItemAnalysis` is an R package including functions and interactive shiny application for the psychometric analysis of educational tests,
psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Offered methods include:
* 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
Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports.
`ShinyItemAnalysis` is available online at [Czech Academy of Sciences](https://shiny.cs.cas.cz/ShinyItemAnalysis/) and [shinyapps.io](https://cemp.shinyapps.io/ShinyItemAnalysis/). It can be also downloaded from [**CRAN**](https://CRAN.R-project.org/package=ShinyItemAnalysis). Visit our [**web page**](https://www.shinyitemanalysis.org/) about ShinyItemAnalysis to learn more!
## Installation
The easiest way to get `ShinyItemAnalysis` is to install it from CRAN:
```r
install.packages("ShinyItemAnalysis")
```
Click here for more information about installing versions 1.4.0+
From ShinyItemAnalysis version 1.4.0 on, only the most necessary package dependencies are installed out of the box. You may be prompted later on to install additional packages ensuring a smooth run of the interactive application. To install everything straight out, use rather:
```r
install.packages("ShinyItemAnalysis", dependencies = TRUE)
```
Or you can get the newest development version from GitHub:
```r
if(!require(remotes)) install.package("remotes")
remotes::install_github("patriciamar/ShinyItemAnalysis")
```
## Version
Current version available on [**CRAN**](https://CRAN.R-project.org/package=ShinyItemAnalysis) is 1.5.2.
The newest development version available on [**GitHub**](https://github.com/patriciamar/ShinyItemAnalysis) is 1.5.2.
Version available online at [Czech Academy of Sciences](https://shiny.cs.cas.cz/ShinyItemAnalysis/) is 1.5.2.
Version available online at [shinyapps.io](https://cemp.shinyapps.io/ShinyItemAnalysis/) is 1.5.2.
## Usage
It is very easy to run `ShinyItemAnalysis` in `R`:
```r
ShinyItemAnalysis::run_app()
# or
ShinyItemAnalysis::startShinyItemAnalysis()
```
Or if you are an RStudio IDE user, simply click on `Run ShinyItemAnalysis` in [Addins](https://docs.posit.co/ide/user/ide/guide/productivity/add-ins.html) menu (located at the end of the toolbar). Last but not least, you can also try the app directly online at [Czech Academy of Sciences](https://shiny.cs.cas.cz/ShinyItemAnalysis/) or [shinyapps.io](https://cemp.shinyapps.io/ShinyItemAnalysis/)!
## References
When using `ShinyItemAnalysis` software, we appreciate if you include a reference in your publications. To cite the software, please, use:
> Martinková P., & Hladká A. (2023) Computational Aspects of Psychometric Methods: With R. (1st ed.). Chapman and Hall/CRC. doi: 10.1201/9781003054313. ISBN 9781003054313.
> Martinková P., & Drabinová A. (2018) ShinyItemAnalysis for teaching psychometrics and to enforce routine analysis of educational tests. The R Journal, 10(2), 503-515.
> [doi: 10.32614/RJ-2018-074](https://doi.org/10.32614/RJ-2018-074).
Czech speakers can also refer to paper in journal [Testforum](https://doi.org/10.5817/TF2017-9-129).
## Getting help and provide feedback
If you find any bug or just need help with `ShinyItemAnalysis` you can [leave your message as an GitHub issue](https://github.com/patriciamar/ShinyItemAnalysis/issues) or directly contact us at [[email protected]](mailto:[email protected]). We warmly encourage you to provide your feedback using [Google form](https://docs.google.com/forms/d/e/1FAIpQLSdbk2mkDacMlhGQmkFPa4A-Z4KcFMMG1IXugM8eSTzN7m4xnA/viewform).
## License
This program is free software and you can redistribute it and or modify it under the terms of the [GNU GPL 3](https://www.gnu.org/licenses/gpl-3.0.en.html).