AI RESEARCH
Prompt Engineering for Scale Development in Generative Psychometrics
arXiv CS.AI
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ArXi:2603.15909v1 Announce Type: new This Monte Carlo simulation examines how prompt engineering strategies shape the quality of large language model (LLM)--generated personality assessment items within the AI-GENIE framework for generative psychometrics. Item pools targeting the Big Five traits were generated using multiple prompting designs (zero-shot, few-shot, persona-based, and adaptive), model temperatures, and LLMs, then evaluated and reduced using network psychometric methods.