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

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

A practical guide to replicate weights for correct standard errors in complex surveys: BRR, Fay, jackknife, bootstrap, and the common gotchas.

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

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

The core ideas of structural equation modeling in one place: model parts, identification, estimation, fit, and reading the output.

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

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

Heading to Washington, DC for psychometrics work: better measurement, clearer decisions, and a little methodological joy.

A short note on why I’m heading back to Europe, this time for survey statistics, psychometrics, and measurement work.