Articles • mirtverse

Getting started with mirtverse
The mirtverse workbench
Response times and rapid guessing
mv_ask(): from a sentence to a tested R script: How mv_ask() turns a plain-language request into a complete IRT analysis script, with worked examples and benchmark results for Claude, GPT and local Ollama models.
Sharing results with a dashboard: Turn a fitted model into an interactive dashboard for people who do not use R, and share it as a single HTML file or a Shiny app.
Moving from ltm, eRm, TAM or irtQ to mirt: Translate existing IRT code into mirt with mirtify(), see what changes and why, and look up any function in the crosswalk.
An assessment pipeline from blueprint to bank monitoring: Take a certification exam through every stage of the mirtverse assessment pipeline, with the checks and decisions at each step.

Teaching labs for measurement courses: Interactive learnr labs in which students fit live mirt models and make the decisions a psychometrician makes, from scoring and model choice to interpretation and fairness. Includes an instructor guide and answer key.
A course map for instructors: A suggested 12-week syllabus for a university course in item response theory, linking each week to mirtverse articles, labs, functions and datasets.
Glossary of IRT terms: Plain-language definitions of the terms used in item response theory, each with the mirtverse or mirt function that computes it, and pictures where a picture helps.