心理学通讯2026，Vol.9Issue(1)：62-70,9.DOI:10.12100/j.issn.2096-5494.226010
基于大语言模型的跨文化个性测量表(CPAI-2)人际取向结构探索:一项初步研究
Exploring the Structure of the CPAI-2 Interpersonal Relatedness Factor Using Large Language Models:A Pilot Study
摘要
Abstract
Objective:This study aimed to explore the structural model of the Interpersonal Relatedness factor in the Cross-Cultural Personality Assessment Inventory(CPAI-2). Methods:A sample of 100 Chinese adults was recruited through an online survey.Participants completed the Interpersonal Relatedness scale of the CPAI-2 and an open-ended language task.The study examined whether the structural features of the Interpersonal Relatedness factor could be reflected in participants'natural language expressions.Responses from the open-ended task were coded and analyzed using the large language model ChatGPT-5 for model construction.Cosine similarity analysis was conducted to evaluate the consistency and correspondence of the derived structures. Results:(1)The results of two independent coding rounds demonstrated a high degree of similarity.(2)The model constructed by ChatGPT showed both convergence and divergence relative to the original CPAI-2 model.Specifically,the dimensions of Harmony and Social Sensitivity were not supported in the present findings.This may be related to differences in textual meaning and levels of coding and warrants further investigation. Conclusion:By integrating an open-ended language task with large language model coding,this study extends the validation approach of the CPAI-2,provides empirical support for methodological diversification in personality assessment,and contributes to the continued application and development of the CPAI-2.关键词
跨文化个性测量表(CPAI-2)/大语言模型(LLM)/主题分析Key words
Cross-Cultural Personality Assessment Inventory(CPAI-2)/Large Language Models(LLM)/Thematic Analysis引用本文复制引用
李文冰,朱天娇,甘怡群..基于大语言模型的跨文化个性测量表(CPAI-2)人际取向结构探索:一项初步研究[J].心理学通讯,2026,9(1):62-70,9.基金项目
重点研发计划项目(2024YFC3606800) （2024YFC3606800）
国家自然科学基金(32471135). （32471135）
