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韩国高敏感人群量表的灵敏度解释的截断分数。

Cut-off scores for sensitivity interpretation of the Korean Highly Sensitive Person Scale.

机构信息

Division of Architecture, Gwangju University, Gwangju, Korea.

Department of Speech-Language Pathology, Gwangju University, Gwangju, Korea.

出版信息

PLoS One. 2024 Sep 19;19(9):e0309904. doi: 10.1371/journal.pone.0309904. eCollection 2024.

DOI:10.1371/journal.pone.0309904
PMID:39298428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11412629/
Abstract

This study aimed to replicate findings on sensitivity groups, their proportions, and cut-off scores in a South Korean population. Uniquely, it extended the age range to include participants up to 80 years old, representing the first attempt to validate these constructs across such a broad age spectrum in this cultural context. A total of 1773 South Koreans in their 20s to 80s participated in the Highly Sensitive Person Scale (HSPS) questionnaire survey, conducted to establish a cut-off score to be used more conveniently in real-world scenarios. The results showed that 22.0%, 45.3%, and 32.7% belonged to the low-, medium-, and high-sensitivity groups, respectively. The average item scores of 3.81 and 4.73 served as cut-off points distinguishing low- from medium-sensitivity and medium- from high-sensitivity groups, respectively. This study represents applied research on the use of HSPS. Research on HSPS cut-off scores considering cultural or demographic characteristics is still in its early stages, and accumulating data through various surveys is key for in-depth comparative analyses.

摘要

本研究旨在复制在韩国人群中关于敏感群体、其比例和截断分数的发现。独特的是,它将年龄范围扩大到包括 80 岁以下的参与者,这是首次在这种文化背景下尝试在如此广泛的年龄范围内验证这些结构。共有 1773 名 20 多岁到 80 多岁的韩国人参加了高度敏感人士量表(HSPS)问卷调查,旨在确定一个更方便在现实场景中使用的截断分数。结果表明,分别有 22.0%、45.3%和 32.7%的人属于低、中、高敏感群体。3.81 分和 4.73 分的平均项目分数分别作为区分低敏感与中敏感以及中敏感与高敏感群体的截断点。本研究代表了 HSPS 的应用研究。考虑文化或人口特征的 HSPS 截断分数的研究仍处于早期阶段,通过各种调查积累数据是进行深入比较分析的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/08b0702e8501/pone.0309904.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/000e138633b8/pone.0309904.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/34c08db87a17/pone.0309904.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/cbdb54f56445/pone.0309904.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/08b0702e8501/pone.0309904.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/000e138633b8/pone.0309904.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/34c08db87a17/pone.0309904.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/cbdb54f56445/pone.0309904.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a44a/11412629/08b0702e8501/pone.0309904.g004.jpg

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本文引用的文献

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PLoS One. 2022 Jul 21;17(7):e0271571. doi: 10.1371/journal.pone.0271571. eCollection 2022.
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