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ShinyItemAnalysis

Test and item analysis via shiny

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

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 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 1.3.6. The newest development version available on GitHub is 1.3.6. Version available online at Czech Academy of Sciences is 1.3.6. Version available online at shinyapps.io is 1.3.6.

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

1.3.6

License

GPL-3

Maintainer

Patricia Martinkova

Last Published

March 20th, 2021

Functions in ShinyItemAnalysis (1.3.6)

HCIprepost

Homeostasis concept inventory pretest and posttest scores
ItemAnalysis

Compute traditional item analysis indices
ICCrestricted

Range-restricted reliability with intra-class correlation
HCItest

Homeostasis concept inventory multiple-choice dataset
HCItestretest

Homeostasis concept inventory test-retest dataset
plotCumulative

Plot cumulative and category probabilities of cumulative logit model
fa_parallel

Conduct Parallel Analysis
dataMedicaltest

Dataset of admission test to medical school
plotAdjacent

Plot category probabilities of adjacent category logit model
ShinyItemAnalysis-package

ShinyItemAnalysis: Test and Item Analysis via shiny
gDiscrim

Compute generalized item discrimination
dataMedical

Dichotomous dataset of admission test to medical school
ggWrightMap

Plot Wright map using ggplot2
NIH

NIH grant peer review scoring dataset
dataMedicalgraded

Graded dataset of admission test to medical school
LearningToLearn

Dichotomous dataset of learning to learn test
recode_nr

Recognize and recode not-reached responses
plot_corr

Compute and plot an item correlation matrix
theme_app

Complete theme for ShinyItemAnalysis graphics
plotDIFirt

Plot item characteristic curve of DIF IRT model
plotDIFLogistic

Function for characteristic curve of 2PL logistic DIF model
startShinyItemAnalysis

Start ShinyItemAnalysis application
reexports

Objects exported from other packages
plotMultinomial

Plot category probabilities of multinomial model
dataMedicalkey

Key of correct answers for dataset of admission test to medical school
plotDistractorAnalysis

Plot item distractor analysis
CZmaturaS

Czech matura dataset - sample
DDplot

Plot difficulties and discriminations/item validity
DistractorAnalysis

Distractor analysis
HCIgrads

Homeostasis concept inventory dataset of graduate students
HCI

Homeostasis concept inventory dichotomous dataset
HCIkey

Key of correct answers for homeostasis concept inventory dataset
HCIdata

Homeostasis concept inventory full dataset
AIBS

AIBS grant peer review scoring dataset
CZmatura

Czech matura dataset