Overview | Installation | Example data | Complete analysis with mcq_analysis() | Visualizing item quality | Per-distractor analysis | Distractor efficiency | Publication-ready output with apa_table() | Individual functions | References
Package: mcqAnalysis 0.1.0
mcqAnalysis: Classical Test Theory Item Analysis for Multiple-Choice Tests
A unified toolkit for classical test theory (CTT) item analysis of multiple-choice test data, including item difficulty (p-value), item discrimination (point-biserial correlation and upper-lower 27-percent discrimination index), per-distractor analysis (frequency, proportion, and discrimination), and Haladyna's distractor efficiency. A wrapper function returns a tidy 'mcq_analysis' object with print, plot (difficulty-discrimination scatter), and APA-style table methods for direct inclusion in journal manuscripts. Implemented in pure R with no compiled code and minimal dependencies.
Authors:
mcqAnalysis_0.1.0.tar.gz
mcqAnalysis_0.1.0.zip(r-4.7)mcqAnalysis_0.1.0.zip(r-4.6)mcqAnalysis_0.1.0.zip(r-4.5)
mcqAnalysis_0.1.0.tgz(r-4.6-any)mcqAnalysis_0.1.0.tgz(r-4.5-any)
mcqAnalysis_0.1.0.tar.gz(r-4.7-any)mcqAnalysis_0.1.0.tar.gz(r-4.6-any)
mcqAnalysis_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mcqAnalysis/json (API)
| # Install 'mcqAnalysis' in R: |
| install.packages('mcqAnalysis', repos = c('https://rafhq1403.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rafhq1403/mcqanalysis/issues
Datasets:
- mcq_example - Simulated multiple-choice test data
Last updated from:62f3714ed5. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 150 | ||
| linux-release-x86_64 | OK | 133 | ||
| macos-release-arm64 | OK | 85 | ||
| macos-oldrel-arm64 | OK | 68 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 73 | ||
| wasm-release | OK | 96 |
Exports:apa_tabledistractor_analysisdistractor_efficiencyitem_difficultyitem_discriminationmcq_analysispoint_biserial
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generic APA-style table formatter | apa_table |
| APA-style table for an mcq_analysis object | apa_table.mcq_analysis |
| Distractor analysis | distractor_analysis |
| Distractor efficiency | distractor_efficiency |
| Item difficulty (p-value) | item_difficulty |
| Item discrimination | item_discrimination |
| Comprehensive multiple-choice item analysis | mcq_analysis |
| Simulated multiple-choice test data | mcq_example |
| Plot a difficulty-discrimination scatter for an mcq_analysis object | plot.mcq_analysis |
| Point-biserial correlation | point_biserial |
