Shared Schemas, Not Accurate Signals: Why Voice-Based First Impressions Are Consistent but Inaccurate
Description
The dataset uploaded for formal data analysis consists of the following components: 1. Participant Information Speakers: information for 100 speakers Informants: information for 100 informants Perceivers: information for 400 perceivers 2. Summary Data For each voice material, the following summary statistics are provided for each of the ten personality traits: Self-report score Informant report score Actual personality criterion (mean of self-report and informant report) Mean first impression rating (averaged across 40 perceivers) 3. Raw Perceiver Rating Data Raw ratings from all 400 perceivers for each voice material and each personality trait. 4. Acoustic Feature Data Nine acoustic features extracted from each voice material. 5. Voice Materials A folder containing the 100 voice recordings. 6. Supplementary analysis Further principal component analysis was performed on the voice-based first impressions of 10 traits