Validity evidence for personality scores from algorithms trained on low‐stakes verbal data and applied to high‐stakes interviews
Brent A. Stevenor,
Louis Hickman,
Michael J. Zickar
et al.
Abstract:We present multifaceted validity evidence for machine learning models (referred to as automated video interview personality assessments (AVI‐PAs) in this research) that were trained on verbal data and interviewer ratings from low‐stakes interviews and applied to high‐stakes interviews to infer applicant personality. The predictive models used RoBERTa embeddings and binary unigrams as predictors. In Study 1 (N = 107), AVI‐PAs more closely reflected interviewer ratings compared to applicant and reference ratings… Show more
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