Measurement invariance.
Measurement invariance asks whether a questionnaire measures the same construct in the same way across groups or languages.
What it means
If a scale behaves differently across languages or groups, the same score may not mean the same thing. Measurement invariance is the statistical check for that problem.
Personome status
Personome has not claimed measurement invariance yet. V1 English and Danish are usable product languages, but full invariance testing belongs to the validation program.
Why it matters
Without invariance evidence, cross-language or cross-group comparisons must stay cautious. The product can still be useful for individual reflection, but broad group comparisons need stronger evidence.
FAQ
Has Personome proven measurement invariance?
No. Personome has not claimed measurement invariance yet.
Why does measurement invariance matter?
It helps show whether scores mean the same thing across languages or groups.
What happens if invariance fails?
Claims must narrow. Items, translations, norms or interpretation rules may need revision before comparisons are made.