COMPASS 2.0: psychometric representational similarity analysis distinguishes symptom structure from personal signal
Language models can score psychiatric questionnaires from speech, but agreement with self-report may reflect the questionnaire rather than the person. We introduce psychometric representational similarity analysis, a framework for comparing the structure of speech-derived scores, self-report, item wording and theory, and implement it alongside person-level construct scoring in COMPASS 2.0. We show how similarly worded items induce covariance without psychological signal. In pre-registered discovery and confirmation analyses of clinical interviews from 275 participants, language-derived symptom geometry resembled wording more than self-report, with no structure beyond wording detected by t...
| Authors | Baihan Lin |
|---|---|
| Primary category | q-bio.NC |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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