Loureiro Luís, Santos José, Loureiro Cândida
Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra, 3046-851 Coimbra, Portugal.
Eur J Investig Health Psychol Educ. 2025 Mar 23;15(4):43. doi: 10.3390/ejihpe15040043.
The concept of positive mental health (PMH) and therefore mental well-being (MWB) have taken center stage over the last few decades. The Mental Health Continuum-Short Form (MHC-SF) is one of the most important tools for assessing MWB. This study aims to assess the psychometric properties and dimensionality of the Portuguese version of the MHC-SF by comparing three competing models.
Between January and March of 2021, a survey was conducted with a convenience sample of 495 Portuguese adolescents aged 12 to 18 years, enrolled in grades 7 to 12. Descriptive statistics and bivariate statistical tests and measures associated with confirmatory factor analysis (CFA) were calculated.
The results of the CFA support the idea that the bifactor model fits the data better than the other competing models. The indices support unidimensionality, namely the explained common variance (ECV = 0.81), the Percentage of Uncontaminated Correlations (PUC = 0.69), and the omega hierarchical (ωH = 0.89), and point to the existence of a general MHC-SF factor. The scale showed high reliability (ω = 0.95) in the general factor. The MHC-SF has concurrent validity, correlating with other scales that assess aspects related to mental health and well-being.
The results point to the adequacy of the bifactor model and suggest the existence of a general factor of PMH, confirming that the total score of the scale can be used.
在过去几十年中,积极心理健康(PMH)以及心理健康幸福感(MWB)的概念已成为核心关注点。心理健康连续体简表(MHC-SF)是评估MWB的最重要工具之一。本研究旨在通过比较三种竞争模型来评估葡萄牙语版MHC-SF的心理测量特性和维度。
在2021年1月至3月期间,对495名年龄在12至18岁、就读于7至12年级的葡萄牙青少年进行了便利抽样调查。计算了描述性统计量、双变量统计检验以及与验证性因素分析(CFA)相关的测量指标。
CFA结果支持双因素模型比其他竞争模型更适合数据这一观点。这些指标支持单维性,即解释共同方差(ECV = 0.81)、未受污染相关性百分比(PUC = 0.69)和ω层次系数(ωH = 0.89),并表明存在一个一般的MHC-SF因素。该量表在一般因素上显示出高信度(ω = 0.95)。MHC-SF具有同时效度,与评估心理健康和幸福感相关方面的其他量表存在相关性。
结果表明双因素模型是合适的,并表明存在一个PMH的一般因素,证实该量表的总分可以使用。