SEM.
SEM means standard error of measurement: an estimate of how much measurement noise sits around a score.
What it means
A score is never perfectly exact. SEM helps turn that uncertainty into a visible band, so close scores are not treated as more different than the measurement supports.
How Personome uses it
Personome shows uncertainty bands around scores. If two bands overlap, the honest reading is that the difference may be too small to build a strong story on.
Current status
V1 uses assumed reliability constants until Personome has enough pilot data to estimate empirical reliability and update the bands.
FAQ
What does SEM mean in Personome?
It is the measurement-noise estimate behind the uncertainty band shown around a score.
Can two close scores be meaningfully different?
Only sometimes. If their uncertainty bands overlap, Personome avoids making a strong claim from the gap.
Will SEM change after pilot data?
Yes. The plan is to replace assumed reliability with measured reliability once the sample is strong enough.