Test and Item Analysis via Shiny
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Updated
Jun 8, 2026 - R
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
Tüm Yönleri ile TAP (Test Analysis Program): Test ve Madde Analizi
R package for identify complex structure in factor analysis output
I-STAR is a shiny app that may be used by educators to generate easy statistical and psychometric reports for their exams.
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.
R package for working with ConQuest item response modelling software
A high-level R 📦 for quiz & questions analysis of 🎓 Moodle Grades Report
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.
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.
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.
Aplicación de IRT a Pobreza Multidimensional
Lint your LLM eval set. Reliability, items scored against a wrong answer, near-duplicates, and how many test cases you can drop without changing the ranking. Zero dependencies.
Automated Item Removal Strategies in Explatory Factor Analysis
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