semanticfa: An R Package for Response-Free Semantic Factor Analysis of Psychometric Scales
Paper recorded by Signals 4 on 2026-10-27 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28
Category: cs.CL · 自然语言处理 · first seen 2026-10-28
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 meanings. We introduce semanticfa, an R package for semantic factor analysis, which factors item-embedding similarities. It also interprets factors, flags redundant items
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Cite this page: semanticfa: An R Package for Response-Free Semantic Factor Analysis of Psychometric Scales: the #121 most recent of 660 cs.CL papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/semanticfa-an-r-package-for-response-free-semantic-factor-analysis-of-psychometr.html
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