A practical toolbox for real-world psychometrics: planning, modeling, validation, and reporting.

How to think about DIF, the most common approaches, and what to report so reviewers do not roast you.

A practical guide to choosing between 2PL and GRM, interpreting parameters, and avoiding common IRT mistakes.

What configural, metric, scalar, and strict invariance actually mean, and how to run defensible group comparisons.

A practical explanation of plausible values, and how to use them correctly in analysis without breaking inference.

Replicate weights, explained like a human. What they are, why they exist, and how to use them safely.

Post: travel blog

A practical SEM workflow: theory first, clean measurement, transparent reporting, and fewer nonsense modifications.