Change the Number, Change the Answer: Assessing Rating Scale Sensitivity in LLM-Based Text Scoring

Large language models (LLMs) are increasingly used in computational social science to assign scalar scores to social and psychological constructs. However, studies use different rating scales, and whether their scores remain comparable across scale designs is understudied. To address this gap, we de