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Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators

arXiv – CS AI|Sungjib Lim, Woojung Song, Eun-Ju Lee, Yohan Jo|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers developed a framework using large language models to simulate virtual respondents for validating psychometric survey items, addressing the challenge of ensuring construct validity without costly human data collection. The approach uses trait-response mediators to identify survey items that robustly measure intended psychological traits across three major trait theories.

Key Takeaways

→New framework enables cost-effective psychometric survey validation using LLM-simulated virtual respondents instead of expensive human studies.
→The method accounts for mediators that influence how traits translate to survey responses, improving item validity assessment.
→Testing across Big5, Schwartz, and VIA psychological trait theories demonstrated the framework's effectiveness.
→LLMs showed capability to generate plausible mediators and simulate realistic human survey response behavior.
→Researchers publicly released dataset and code to support future psychometric research applications.

#psychometrics #llm-validation #survey-research #trait-assessment #virtual-respondents #construct-validity #behavioral-simulation #research-methodology

Read Original →via arXiv – CS AI

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