Institute of Population, Health University of Liverpool Brownlow Hill, Liverpool, L69 3BX, UK.
Economics, The Open University, London, MK7 6AA, UK.
BMC Public Health. 2022 Mar 11;22(1):486. doi: 10.1186/s12889-022-12866-x.
To date, few assessment instruments have been developed to quantitatively measure the mental health status of migrant populations specifically. This paper describes the development and preliminary assessment of the 'Good Life in the Community Scale' (GLiCS). GLiCS is a wellbeing measure for migrant women in high-income settings that was coproduced with experts by experience across two phases.
The study used a mixed-methods approach and was composed of two phases.
88 initial items generated using qualitative data collected in a previous study were reduced to 42 through consultation with expert advisory panels, based on whether each item was considered understandable and relevant Phase II: these 42 items were piloted with a sample of migrant women (N = 109). A preliminary exploratory factor analysis was conducted using Oblique rotation. Internal consistency was measured using McDonald's ω. Convergent validity was tested by correlating the GLiCS with the Oxford Capabilities Questionnaire Mental Health (OxCAP-MH), WHO-5 wellbeing index and Objective Social Outcomes Index (SIX). Incremental validity was tested using hierarchical regression analysis to ascertain the effect on the WHO-5 wellbeing index of: age, migration status, SIX, OxCAP-MH and GLiCS. Known groups validity, the ability a measure has to discriminate between groups likely to differ on the variables of interest, was tested between the different migrant categories using a simple between subjects ANOVA.
Exploratory factor analysis confirmed a 17-item (three-factor: (i) access to resources, (ii) belonging and contributing, (iii) independence) scale with high internal consistency (McDonald's ω = 0.91). Convergent and incremental validity were also evidenced.
The GLiCS has demonstrable good internal consistency and construct validity, and it presents a promising wellbeing measure for better understanding the experience of migrant women.
迄今为止,很少有评估工具专门用于定量测量移民群体的心理健康状况。本文描述了“社区美好生活量表”(GLiCS)的开发和初步评估。GLiCS 是一种针对高收入环境中移民妇女的幸福感衡量标准,是在两个阶段通过经验专家的合作而产生的。
该研究采用混合方法,由两个阶段组成。
使用先前研究中收集的定性数据生成了 88 个初始项目,通过与专家咨询小组协商,根据每个项目是否被认为是可理解和相关的,将其减少到 42 个。
对 109 名移民妇女的样本进行了这些 42 个项目的试点。使用斜交旋转进行初步探索性因素分析。使用 McDonald's ω 测量内部一致性。通过与牛津能力问卷心理健康(OxCAP-MH)、世界卫生组织 5 项幸福感指数(WHO-5)和客观社会结果指数(SIX)的相关性来测试收敛效度。通过分层回归分析测试增量效度,以确定 GLiCS 对 WHO-5 幸福感指数的影响:年龄、移民状况、SIX、OxCAP-MH 和 GLiCS。使用简单的受试者间方差分析测试不同移民类别的已知组有效性,即衡量一个测量方法在感兴趣的变量上区分不同群体的能力。
探索性因素分析证实了一个包含 17 个项目(三个因素:(i) 资源获取,(ii) 归属感和贡献感,(iii) 独立性)的量表,具有较高的内部一致性(McDonald's ω=0.91)。还证明了收敛和增量有效性。
GLiCS 具有良好的内部一致性和结构有效性,为更好地理解移民妇女的体验提供了一种有前途的幸福感衡量标准。