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.

給 Claude 用的教育測驗與評量 Skill：試題分析（難度、鑑別度、誘答力、信度）、會考／學測／分科／統測報表解析、命題與審題（CC BY 4.0）

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

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

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.

Tools for item analysis in psychometric studies

Role-based online test platform for NMIMS Hyderabad. Faculty build question banks and run tests with live monitoring; students take MCQ, MSQ and descriptive tests at their own pace with server-side timing and auto-grading; admins manage users and academic structure. PHP 8 + MariaDB, built for Apache on a campus LAN.

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.

Aplicación de IRT a Pobreza Multidimensional

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.

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.

R tools for scoring and key evaluation of Situational Judgement Tests (SJT): four scoring methods, option analysis, expert key checking, expert agreement (Kendall's W), and visualization. Base R only.

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.