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从成分数据分析视角对心理健康的分析:一种新方法。

Analysis of Psychological Well-Being from a Compositional Data Analysis Perspective: A New Approach.

作者信息

Cortés-Rodríguez María, Galindo-Villardón Purificación, Sánchez-Barba Mercedes, Jarauta-Bragulat Eusebi, Urchaga-Litago José David

机构信息

Department of Statistics, University of Salamanca, 37008 Salamanca, Spain.

Department of Hematology, Hospital Universitario de Salamanca, Institute for Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain.

出版信息

Behav Sci (Basel). 2023 Nov 13;13(11):926. doi: 10.3390/bs13110926.

DOI:10.3390/bs13110926
PMID:37998673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10669479/
Abstract

Well-being is a widely studied construct in psychology. In 1989, Carol Ryff proposed the "Scale of Psychological Well-Being (SPWB)", which has been validated in multiple languages. The instrument assesses six dimensions of psychological well-being: Self-acceptance, Positive Relationships with Others, Autonomy, Environmental Mastery, Purpose in Life, and Personal Growth. In this article, we propose to enrich the traditional approach of directly interpreting the raw scores in each dimension by incorporating Compositional Data Analysis. This new approach aims to identify "what proportion" of each dimension constitutes well-being, which will allow us to analyze the interactions between the different dimensions of well-being and balance among them. To achieve this, we introduce two position ratios (PR1 and PR2) and a general adjustment indicator called the General Indicator of Subjective Psychological Well-Being (GISPW), which characterizes individuals in a compositional manner, providing a fresh perspective in the interpretation of psychological test results, specifically those related to PWB. The proposal is illustrated with three cases taken from a study involving 628 university students who completed the psychological well-being scale questionnaire. The results show that the GISPW, PR1, and PR2 obtained offer relevant information about the overall balance of each case in the different dimensions.

摘要

幸福感是心理学中一个被广泛研究的概念。1989年,卡罗尔·赖夫提出了“心理幸福感量表(SPWB)”,该量表已在多种语言中得到验证。该工具评估心理幸福感的六个维度:自我接受、与他人的积极关系、自主性、环境掌控、生活目标和个人成长。在本文中,我们建议通过纳入成分数据分析来丰富直接解释每个维度原始分数的传统方法。这种新方法旨在确定每个维度在幸福感中所占的“比例”,这将使我们能够分析幸福感不同维度之间的相互作用以及它们之间的平衡。为了实现这一目标,我们引入了两个位置比率(PR1和PR2)以及一个称为主观心理幸福感综合指标(GISPW)的一般调整指标,该指标以成分方式刻画个体,为心理测试结果的解释,特别是与PWB相关的结果解释提供了一个全新的视角。本文通过取自一项涉及628名完成心理幸福感量表问卷的大学生的研究中的三个案例来说明这一建议。结果表明,所获得的GISPW、PR1和PR2提供了有关每个案例在不同维度上总体平衡的相关信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/e666b7fe3db7/behavsci-13-00926-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/0da8f4f33d8f/behavsci-13-00926-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/63462c43f6b5/behavsci-13-00926-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/3c6500ad2160/behavsci-13-00926-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/3ee9f1fd955c/behavsci-13-00926-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/a46d4208e388/behavsci-13-00926-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/e666b7fe3db7/behavsci-13-00926-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/0da8f4f33d8f/behavsci-13-00926-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/63462c43f6b5/behavsci-13-00926-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/3c6500ad2160/behavsci-13-00926-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/3ee9f1fd955c/behavsci-13-00926-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/a46d4208e388/behavsci-13-00926-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4feb/10669479/e666b7fe3db7/behavsci-13-00926-g006.jpg

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