ShinyItemAnalysis

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ShinyItemAnalysis

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Test and Item Analysis via Shiny

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# ShinyItemAnalysis <img src="inst/ShinyItemAnalysis/www/sia_logo.svg" align="right" width=150/> 
Test and item analysis via shiny

[![R-CMD-check](https://github.com/patriciamar/ShinyItemAnalysis/workflows/R-CMD-check/badge.svg)](https://github.com/patriciamar/ShinyItemAnalysis/actions)
![GHversion](https://img.shields.io/github/release/patriciamar/ShinyItemAnalysis.svg)
[![online](https://img.shields.io/badge/online-1.6.0-yellow.svg)](https://shiny.cs.cas.cz/ShinyItemAnalysis/)
[![version](https://www.r-pkg.org/badges/version/ShinyItemAnalysis)](https://CRAN.R-project.org/package=ShinyItemAnalysis)
![cranlogs](https://cranlogs.r-pkg.org/badges/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 correlation structure and validity
 * Analysis of measurement error and reliability
 * 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://shinyitemanalysis.org/) about ShinyItemAnalysis to learn more!

## Installation

The easiest way to get **ShinyItemAnalysis** is to install it from CRAN:

```r
install.packages("ShinyItemAnalysis")
```

<details>
<summary>Click here for more information about installing versions 1.4.0+</summary>
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)
```
</details>

Or you can get the newest development version from GitHub:

```r
if(!require(remotes)) install.package("remotes")
remotes::install_github("patriciamar/ShinyItemAnalysis")
```

## Version
The table below summarizes the currently available versions of
**ShinyItemAnalysis** across different distribution sources, distinguishing
between sources that provide both the R package and the Shiny application and
those that provide the application only.

| Source | Type | Version |
|:-------|:-----|:--------|
| [CRAN][cran] | Package & App | 1.6.0 |
| [GitHub (development)][github] | Package & App | 1.6.0 |
| [Czech Academy of Sciences][cas] | Online app only | 1.6.0 |
| [shinyapps.io][shinyapps] | Online app only | 1.6.0 |

[cran]: https://CRAN.R-project.org/package=ShinyItemAnalysis
[github]: https://github.com/patriciamar/ShinyItemAnalysis
[cas]: https://shiny.cs.cas.cz/ShinyItemAnalysis/
[shinyapps]: https://cemp.shinyapps.io/ShinyItemAnalysis/

## 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](https://doi.org/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).

When using one of the **SIA modules**, please, cite:

> Martinková P., Netík J. & Hladká A. (2026) Enhancing Psychometric Analysis with Interactive SIA Modules. Psychometrika, Online First, 1-29.
> [doi: 10.1017/psy.2026.10088](https://doi.org/10.1017/psy.2026.10088).

## Getting help and providing feedback
If you meet any issue with **ShinyItemAnalysis** interactive application or its modules, contact us directly at [sia-group@cs.cas.cz](mailto:sia-group@cs.cas.cz).
In case you meet any trouble with ShinyItemAnalysis R package, please report as an issue on [GitHub](https://github.com/patriciamar/ShinyItemAnalysis/issues). 
We warmly encourage you to provide your feedback using the [Google form](https://forms.gle/b6KQLMxzjqebcRhq6).

## 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).

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