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English(EN) semanticfa: An R Package for Response-Free Semantic Factor Analysis of Psychometric Scales

新的R包semanticfa支持对调查项目进行语义因子分析

一个名为semanticfa的新R包已被开发用于心理测量量表的语义因子分析。该包将调查项目转换为嵌入向量,从而能够分析它们之间的语义相似性。该工具可以识别因子、建议更短的量表形式以及筛选新项目。使用Big-Five Factor Markers和Qwen3-Embedding-8B模型进行的演示表明,语义结构与响应结构一致,尽管反向编码的项目存在独特的挑战。 AI

影响 通过语言模型嵌入实现了分析调查数据的新方法,可能改进心理学研究。

排序理由 该条目是一篇学术论文,描述了一个用于心理测量量表语义因子分析的新R包。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新的R包semanticfa支持对调查项目进行语义因子分析

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该条目是一篇学术论文,描述了一个用于心理测量量表语义因子分析的新R包。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Devon Yanitski, Chris Westbury ·

    semanticfa: 用于心理测量量表无响应语义因子分析的 R 包

    arXiv:2610.37494v1 Announce Type: new Abstract: The items of a reflective psychometric scale can be read as a proposal about a construct's structure. Language models make that proposal measurable by converting each item into an embedding, a list of numbers, similar for similar me…