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Best practice in psychometrics

Articles on assessment science, fair selection and what's changing in the industry — written by our business psychologists.

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Featured AI & assessment · 3 min read

Can candidates cheat psychometric tests with AI — and what should employers do about it?

Generative AI has changed unproctored online testing. We look at what the evidence says about AI-assisted responding, which test types are most exposed, and the detection and design measures that keep results valid.

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Fair selection 5 min read
Differential item functioning: how test developers find biased questions
Differential item functioning is the main statistical tool test developers use to find questions that may be biased against a group of candidates. It works by asking a precise question: do people of the same ability, from different groups, have the same chance of getting this item right?
26 Oct 2026
Fair selection 6 min read
Adverse impact in psychometric testing: what it is and how to monitor it
Adverse impact in psychometric testing occurs when a selection method produces noticeably different outcomes for different groups of candidates. It is not proof of discrimination, but it is a signal every employer using tests should be monitoring. Here is what it means legally, how to measure it, and what to do about it.
26 Oct 2026
Fair selection 3 min read
Reasonable adjustments in online testing: a practical guide for employers
The duty is anticipatory, which means it applies before anyone asks. Most employers get the legal principle right and the operational detail wrong.
23 Aug 2026
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