AI RESEARCH

Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators

arXiv CS.AI

ArXi:2507.05890v4 Announce Type: replace-cross As psychometric surveys are increasingly used to assess the traits of large language models (LLMs), the need for scalable survey item generation suited for LLMs has also grown. A critical challenge here is ensuring the construct validity of generated items, i.e., whether they truly measure the intended trait. Traditionally, this requires costly, large-scale human data collection. To make it efficient, we present a framework for virtual respondent simulation using LLMs.