item-analysis

Test and Item Analysis via Shiny

📚 Apps and reports for multiple-choice test analysis in R with Shiny

DIF and DDF Detection by Non-Linear Regression Models.

Unidimensional IRT models using mirt

R package for identify complex structure in factor analysis output

Tüm Yönleri ile TAP (Test Analysis Program): Test ve Madde Analizi

Tools for item analysis in psychometric studies

An automatic bubble sheet grader and grade analyzer. It scans answer sheets and scores them, then analyzes the results with score histograms, item analysis, question dropping and crediting, and curving methods. Exports grades to your gradebook. Works offline.

Digital twins of 100 real personality-test respondents, with their HEXACO-100 answers. Run the twins on your own questionnaire items to pilot items and scales before recruiting anyone. Python. Noncommercial research license.

I-STAR is a shiny app that may be used by educators to generate easy statistical and psychometric reports for their exams.

R package for working with ConQuest item response modelling software

A high-level R 📦 for quiz & questions analysis of 🎓 Moodle Grades Report

REST API for DevBench, a developer assessment platform: role-based auth, timed attempts, Stripe credits, similarity checks, candidate insights and Smart pick. Express 5, Prisma 7, PostgreSQL.

This is a course that I did in Summer 2021 at Purdue University. It covers exploratory factor analysis for surveys and item analysis for surveys with R programming.

Validated, topic-indexed application and database of publically available 4920 questions from 41 sessions of the Polish PES endocrinology examination (2006–2026), with the pipeline that produced it and a browser-based study app. Includes CEM item statistics for 3703 questions and a 28-category topic index.

Aplicación de IRT a Pobreza Multidimensional

Conducted in Python, this analysis examines the internal consistency (using Kuder-Richardson Formula 20 [KR-20]), inter-rater reliability (using Intraclass Correlation Coefficient [ICC] and Cohen's Kappa), item difficulty and discrimination indices, and the relationship between multiple-choice and essay sections for mixed-format achievement tests.

Lint an LLM eval set: reliability, wrong-answer items, near-duplicates, and droppable cases.

Transparent assessment analytics for item difficulty, rest-score discrimination, reliability, and evidence-based item review.

SUN Item Response Analysis Tool