Statistical Metrics and Reporting Tool

A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, and reports. The classical test theory methods used are described in Ebel and Frisbie (1991, ISBN:978-0132892314).


examly

The goal of examly is to provide a Shiny-based toolkit for comprehensive item/test analysis. It is designed to handle multiple-choice, true-false, and open-ended questions from datasets in 1-0 or other formats, delivering key analyses such as difficulty, discrimination, response-option analysis, reports.

Installation

Install the package directly from GitHub using the devtools package:

# First install devtools if not already installed:
install.packages("devtools")

# Then install examly from GitHub:
devtools::install_github("ahmetcaliskan1987/examly")

Usage

After installation, load the library and launch the Shiny application:

library(examly)
run_app()

Reference manual

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install.packages("examly")

0.3 by Ahmet Çalışkan, 5 months ago


https://github.com/ahmetcaliskan1987/examly


Report a bug at https://github.com/ahmetcaliskan1987/examly/issues


Browse source code at https://github.com/cran/examly


Authors: Ahmet Çalışkan [aut, cre] , Abdullah Faruk Kılıç [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, flextable, ggplot2, glue, htmltools, jsonlite, magrittr, officer, purrr, readr, readxl, shiny, stringr, tibble, tidyr

Suggests knitr, psychometric, rmarkdown, spelling, testthat


See at CRAN