Yeongmin Kim

Evaluating Large Language Model–Derived Outputs as Psychological Measures: A Five-Domain Psychometric Framework With Application to Daily Stress

Abstract Background Large language models (LLMs) are increasingly used to quantify psychological constructs from natural language, yet their outputs are typically evaluated only as predictions of an external label. When that label is itself imperfect, optimizing prediction conflates label agreement with construct measu...