Dominguez-Vergara Julio, Aguilar-Salcedo Brigitte, Orihuela-Anaya Rita, Villanueva-Alvarado José
Research Direction, Universidad Tecnológica del Perú, Lima 15046, Peru.
Research, Science and Technology Unit (UICT), Faculty of Psychology, Universidad Peruana Cayetano Heredia, Lima 15074, Peru.
Geriatrics (Basel). 2024 Sep 2;9(5):111. doi: 10.3390/geriatrics9050111.
The objective of the present study was to analyze the psychometric properties of a life satisfaction scale in older Peruvian adults using an exploratory graph analysis (EGA) approach. A total of 407 older adults aged between 60 and 95 years (M = 69.5; SD = 6.7) from three comprehensive elderly care centers (CIAMs) in Lima, Peru, were recruited. A non-probabilistic convenience sampling was used. The Satisfaction with Life Scale (SWLS) was analyzed using EGA with the Gaussian GLASSO model to assess its dimensionality and structural consistency. The relationship with other variables was analyzed using scales such as the GAD-7 and PHQ-9. The network structure of the SWLS indicates a single dimension. Additionally, network loadings (nodes) were examined, showing high values (>0.35) for most items except item 1, which had a moderate loading (>0.25). Structural reliability showed that a single dimension was identified 100% of the time. The post hoc CFA considering the unidimensional network structure obtained through EGA showed satisfactory fit (χ2/df = 3.48, CFI = 0.96, TLI = 0.92, SRMR = 0.02, RMSEA = 0.07 [90% CI 0.05, 0.08]). Finally, internal consistency reliability was acceptable (ω = 0.92). The SWLS measure is robust and consistent. These findings are a valuable reference for advancing research on aging in Peru, as they provide a practical, valid, and reliable measure.
本研究的目的是使用探索性图分析（EGA）方法分析秘鲁老年成年人生活满意度量表的心理测量特性。从秘鲁利马的三个综合老年护理中心（CIAMs）招募了总共407名年龄在60至95岁之间的老年人（M = 69.5；SD = 6.7）。采用非概率便利抽样。使用高斯广义线性模型选择算法（Gaussian GLASSO）的EGA对生活满意度量表（SWLS）进行分析，以评估其维度和结构一致性。使用广泛性焦虑障碍量表（GAD - 7）和患者健康问卷（PHQ - 9）等量表分析其与其他变量的关系。SWLS的网络结构表明为单维。此外，还检查了网络负荷（节点），除第1项负荷中等（>0.25）外，大多数项目的值都很高（>0.35）。结构可靠性表明，100%的时间都能识别出单维。考虑通过EGA获得的单维网络结构的事后验证性因素分析显示拟合良好（χ2/df = 3.48，CFI = 0.96，TLI = 0.92，SRMR = 0.02，RMSEA = 0.07 [90% CI 0.05，0.08]）。最后，内部一致性可靠性是可接受的（ω = 0.92）。SWLS测量方法稳健且一致。这些发现为推进秘鲁的衰老研究提供了有价值的参考，因为它们提供了一种实用、有效且可靠的测量方法。
