RISE Research Institutes of Sweden, Safety and Transport, Measurement Science and Technology, Sweden; The Gothenburg Centre for Person Centred Care (GPCC), University of Gothenburg, Sahlgrenska Academy, Sweden.
Global Public Health, Karolinska Institutet, Sweden.
Public Health. 2022 Jan;202:43-48. doi: 10.1016/j.puhe.2021.10.009. Epub 2021 Dec 6.
To assess the utility and measurement properties for the well-being scale Short Warwick-Edinburgh Mental Well-Being Scale (SWEMWBS) in a Swedish general population survey.
A cross-sectional survey study.
Data were retrieved from the 2018 public health survey in Stockholm County, containing a random sample of 22 856 persons stratified to be representative for the municipalities and districts within the region. The data were analyzed according to Rasch Measurement Theory.
Person attribute values are positively skewed (mean 2.32, SD 1.85), with wide gaps in the item threshold attribute values. Overall item fit statistics were acceptable, and person measurement separation reliability was 0.83, indicating three statistically distinct ranges in the estimated well-being values.
While the SWEMWBS items indicated acceptable fit to the Rasch measurement model, targeting of items to sample is skewed toward lower levels of well-being, and there is a ceiling effect. Thus, we suggest a careful reconsideration of SWEMWBS as a tool for use in general public health surveys, especially for assessing change over time and group differences, as there are large measurement uncertainties for the majority of cases when the population as a whole is sampled. We encourage revisions applying a coherent and comprehensive ordinal construct theory for well-being to fill the gaps in the upper end of the SWEMWBS scales' item thresholds. The addition of more challenging items would improve targeting for population-based surveys, increase reliability, and provide more actionable information that could be useful in improving individuals' well-being.
评估幸福感量表(Short Warwick-Edinburgh Mental Well-Being Scale,SWEMWBS)在瑞典一般人群调查中的效用和测量特性。
横断面调查研究。
数据取自 2018 年斯德哥尔摩县公共卫生调查,其中包含一个随机样本,共 22856 人,分层抽样以代表该地区的市和区。数据分析采用 Rasch 测量理论。
个体属性值呈正偏态分布(均值 2.32,标准差 1.85),项目阈值属性值之间存在较大差距。总体项目拟合统计数据可接受,个体测量分离可靠性为 0.83,表明在估计的幸福感值中有三个统计学上明显不同的范围。
尽管 SWEMWBS 项目符合 Rasch 测量模型,但项目针对样本的定位偏向于较低的幸福感水平,且存在上限效应。因此,我们建议在一般公共卫生调查中谨慎重新考虑 SWEMWBS 作为工具的使用,尤其是在评估随时间的变化和群体差异时,因为当以整个人群为样本时,大多数情况下测量存在较大的不确定性。我们鼓励修订采用一致和全面的幸福感有序结构理论来填补 SWEMWBS 量表项目阈值上限的空白。增加更具挑战性的项目将提高基于人群的调查的针对性,提高可靠性,并提供更具操作性的信息,这可能有助于提高个体的幸福感。