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ShinyItemAnalysis

Test and item analysis via shiny

Overview

ShinyItemAnalysis is an interactive shiny application for analysis of educational tests and their items including

  • exploration of total and standard scores,
  • item and distractor analysis,
  • item analysis via logistic regression models and their extensions,
  • item analysis via IRT models,
  • training plots for dichotomous and polytomous IRT models,
  • DIF and DDF detection methods.

It also allows the users to upload and analyze their own data and to automatically generate analysis reports in PDF or HTML.

ShinyItemAnalysis is available online at Czech Academy of Sciences and shinyapps.io. It can be also downloaded from CRAN. Visit our web page about ShinyItemAnalysis to learn more!

Installation

# The easiest way to get ShinyItemAnalysis is to install from CRAN:
install.packages("ShinyItemAnalysis")

# Or you can get the newest development version from GitHub:
# install.packages("devtools")
devtools::install_github("patriciamar/ShinyItemAnalysis")

Version

Current version available on CRAN is 1.3.4. The newest development version available on GitHub is 1.3.4. Version available online at Czech Academy of Sciences is 1.3.4. Version available online at shinyapps.io is 1.3.4.

Usage

It is very easy to run ShinyItemAnalysis in R:

library(ShinyItemAnalysis)
startShinyItemAnalysis()

Or try it directly online at Czech Academy of Sciences or shinyapps.io!

References

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. doi: 10.32614/RJ-2018-074.

Czech speakers can also refer to paper in journal Testforum.

Getting help and provide feedback

If you find any bug or just need help with ShinyItemAnalysis you can leave your message as an issue here or directly contact us at martinkova@cs.cas.cz. We warmly encourage you to provide your feedback using Google form.

License

This program is free software and you can redistribute it and or modify it under the terms of the GNU GPL 3.

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Version

Install

install.packages('ShinyItemAnalysis')

Monthly Downloads

1,066

Version

1.3.4

License

GPL-3

Maintainer

Patricia Martinkova

Last Published

August 24th, 2020

Functions in ShinyItemAnalysis (1.3.4)

DDplot

Graphical representation of difficulty and discrimination/item validity in item analysis
HCI

Homeostasis Concept Inventory Dichotomous Dataset
ShinyItemAnalysis-package

ShinyItemAnalysis: Test and Item Analysis via Shiny
ItemAnalysis

Item Analysis
DistractorAnalysis

Function for item distractor analysis
LearningToLearn

Dichotomous Data Set of Learning to Learn Test
HCItest

Homeostasis Concept Inventory Dataset
dataMedicalgraded

Graded Dataset of Admission Test to Medical School
HCIkey

Key of Correct Answers for Homeostasis Concept Inventory Dataset
dataMedical

Dichotomous Dataset of Admission Test to Medical School
dataMedicalkey

Key of Correct Answers for dataMedicaltest Dataset
plotDistractorAnalysis

Function for graphical representation of item distractor analysis
startShinyItemAnalysis

Start ShinyItemAnalysis application
recode_nr

Recognize and recode not-reached responses
plotAdjacent

Function for plotting category probabilities of adjacent logistic regression model
dataMedicaltest

Dataset of Admission Test to Medical School
plotCumulative

Function for plotting cumulative and category probabilities of cumulative logistic regression model
theme_app

Complete theme for ShinyItemAnalysis graphics
ggWrightMap

Wright Map using ggplot
gDiscrim

Generalized Item Discrimination
plotMultinomial

Function for plotting category probabilities of multinomial log-linear regression model
plotDIFirt

Function for characteristic curve of DIF IRT model
plotDIFLogistic

Function for characteristic curve of 2PL logistic DIF model