García-Mollá Adrián, Fernández Irene, Oliver Amparo, Tomás José M, Abella Mireia
Department of Methodology for the Behavioral Sciences, University of Valencia, Blasco Ibáñez Avenue, 21, 46010, Valencia, Spain.
Eur J Ageing. 2025 Jul 29;22(1):37. doi: 10.1007/s10433-025-00872-y.
The use of global or composite cognitive measures is extended in both clinical and academic settings. In this line, several population-based surveys include measures of cognition that have frequently been combined into a single score. However, some methodological aspects of this practice have gone unnoticed. One of such aspects has been to provide evidence of the measurement invariance of the combined measure across countries involved in the surveys. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), this study aims at providing evidence of the factor structure of a Global Cognitive Performance (GCP) measure and testing whether this structure remains invariant across 27 European countries and Israel. The sample was composed of 55,569 adults aged between 60 and 102 years old (M = 72.07, SD = 7.97). 56.58% were female. Confirmatory Factor Analysis was used to establish the measurement model of GCP in the general sample and within each country. Afterwards, measurement invariance across countries was evaluated using the traditional as well as the alignment approach. The unidimensional model of GCP deemed an adequate fit to the data in the general sample as well as within each country, except for Malta, which was excluded from further analyses. After dismissing full measurement invariance, we studied approximate measurement invariance using alignment. 31.85% of factor loading estimates were noninvariant, while 54.81% of item intercept estimates showed deviations from invariance. Given evidence of items' intercepts and factor loadings noninvariance, researchers working with SHARE data should abstain from making cross-country comparisons of GCP. Some plausible explanations for noninvariance of items' intercepts are further discussed.
全球或综合认知测量方法在临床和学术环境中都有广泛应用。在这方面,一些基于人群的调查纳入了认知测量指标,这些指标常常被合并为一个单一分数。然而,这种做法的一些方法学方面却未被注意到。其中一个方面是要提供合并测量指标在参与调查的各个国家间测量不变性的证据。本研究利用欧洲健康、老龄化与退休调查(SHARE)的数据,旨在提供全球认知表现(GCP)测量指标的因子结构证据,并检验该结构在27个欧洲国家和以色列是否保持不变。样本由55569名年龄在60至102岁之间的成年人组成(均值 = 72.07,标准差 = 7.97)。女性占56.58%。使用验证性因子分析来建立总体样本以及每个国家内GCP的测量模型。之后,采用传统方法和校准方法评估各国间的测量不变性。GCP的单维模型被认为与总体样本以及除马耳他(被排除在进一步分析之外)之外的每个国家的数据拟合良好。在排除完全测量不变性后,我们使用校准研究近似测量不变性。31.85%的因子载荷估计值是非不变的,而54.81%的项目截距估计值显示出偏离不变性。鉴于项目截距和因子载荷非不变性的证据,使用SHARE数据的研究人员应避免对GCP进行跨国比较。文中进一步讨论了项目截距非不变性的一些合理原因。