KMOP wanted to measure implicit gender–career bias across Greece, open to anyone online. That reach is also the risk: run a split-second reaction-time test on unsupervised devices, over months, through changing recruitment channels, and the sample can quietly become something you can no longer stand behind. KMOP needed the reach and the proof.
One project, four Headway competences at work.
Five checks, running the whole time — not just at the end.
These five checks are the production deployment of Headway's Data Quality Framework — the same system now used across our online behavioural and survey research.
A slight average implicit bias, lower among women and younger participants — published with each figure's precision tier attached, so KMOP could say exactly how far the data would stretch.
Read the Wave 1 report ↗placeholder — pending asset
Wave 1's evidence — solid instrument, thin subgroups, a sample skewed female and urban — set Wave 2's design: a preregistered, confirmatory study targeting 2,000+ responses, with recruitment aimed at the groups Wave 1 couldn't yet measure precisely.
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