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幸福的一般因素:使用心理健康连续体-短式量表的双因素 ESEM 对多国证据进行分析。

The General Factor of Well-Being: Multinational Evidence Using Bifactor ESEM on the Mental Health Continuum-Short Form.

机构信息

University of Nottingham, Nottingham, UK.

University of Novi Sad, Novi Sad, Serbia.

出版信息

Assessment. 2020 Apr;27(3):596-606. doi: 10.1177/1073191117748394. Epub 2017 Dec 27.

DOI:10.1177/1073191117748394
PMID:29281897
Abstract

The Mental Health Continuum-Short Form (MHC-SF) is a widely used scale aimed at assessing three components of well-being: emotional, social, and psychological. The factor structure of the MHC-SF has been under debate over the past 10 years. The main goal of the present study was to examine the dimensionality of the MHC-SF. Confirmatory factor analyses (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were used to evaluate competing models of the MHC-SF structure. The total sample consisted of 7,521 participants from four countries: The Netherlands, Poland, Portugal, and Serbia. The results indicated that the three CFA factors were very highly related, and that a bifactor ESEM model provided the best fit to the data in all samples. Our findings provided support for the bifactor structure of well-being with a strong general factor explaining most of the variance in the items.

摘要

心理健康连续体-短式量表(MHC-SF)是一种广泛使用的量表,旨在评估幸福感的三个组成部分:情绪、社交和心理。过去 10 年来,MHC-SF 的因子结构一直存在争议。本研究的主要目的是检验 MHC-SF 的维度。验证性因子分析(CFA)、双因子 CFA、探索性结构方程模型(ESEM)和双因子 ESEM 用于评估 MHC-SF 结构的竞争模型。总样本由来自四个国家的 7521 名参与者组成:荷兰、波兰、葡萄牙和塞尔维亚。结果表明,三个 CFA 因子高度相关,双因子 ESEM 模型在所有样本中提供了最佳拟合数据。我们的研究结果支持幸福感的双因子结构,一个强有力的一般因素解释了项目中大部分的变异。

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