Daijin Yang

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2025

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Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
Sirui Wu | Daijin Yang
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress

This study explores an AI-assisted approach for rewriting personality scale items to reduce social desirability bias. Using GPT-refined neutralized items based on the IPIP-BFM-50, we compare factor structures, item popularity, and correlations with the MC-SDS to evaluate construct validity and the effectiveness of AI-based item refinement in Chinese contexts.
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