classical-test-theory

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

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

Classical Test Theory analysis in Julia

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

A dashboard application to run CTT based data analysis on test scores.

This project analysed the competency level of test construction among teachers in senior secondary schools in Edo State, Nigeria. Using Python, the analysis leveraged libraries like scipy.stats (ttest_ind, levene), pandas, matplotlib, numpy, and seaborn to assess teachers' proficiency and identify areas for improvement.

A Shiny app that illustrates the relationship between reliability and measurement error.

Reproducibility bundle for "Three Ways Classical Test Theory Misleads for LLM Judges": a 210-item judge item bank, KR-20 / beta-binomial / Livingston-Lewis estimators, simulation sweeps, and the paper's figures.

Characteristic curves of MCQ alternatives

🧠 Explore Item Response Theory (IRT) to enhance AI-based adaptive testing with accurate measurements and improved assessment techniques.