medRxivJClub
Same answer, different reasons: AI-moderated interviews uncover topics and reasoning that surveys miss.
medRxiv · · Preprint · Open access
Anwyl-Irvine, Economides + 5 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
AI-moderated interviews with 1,953 US adults extract inductive topics that 94% of participants endorse as fair, revealing reasoning differences even when closed-ended answers match.
- Why it matters: Surveys scale but force pre-set responses, so identical answers can hide distinct reasoning; the study tests whether AI interviews recover that missing rationale at population scale.
- What they did: In a pre-registered randomized counterbalanced design, participants completed three AI-moderated interviews plus closed-ended and open-text survey items; topics were inductively extracted and validated with a confirmatory follow-up.
- The result: For AI interview topics, 21–51% had no closed-ended counterpart and coverage was 17–37 percentage points higher than open text; among identical closed-ended responses, reasoning diverged widely in valence and content.
The findingWhy it mattersWhat they didThe result
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