University Hospital Heidelberg, Germany.
Assessment. 2023 Jul;30(5):1418-1434. doi: 10.1177/10731911221100980. Epub 2022 Jun 20.
The Inventory of Complicated Grief (ICG) is a commonly used self-report measure in psycho-oncology, best supportive care, and palliative medicine. However, existing validation studies yielded conflicting results regarding the structural validity. This study provides a psychometric review and conceptual replication of the ICG latent structure to test the hypothesis that existing studies overfit unreliable sources of variance, which overshadow the unidimensionality of the ICG. All proposed latent models identified in the psychometric review were tested in a series of confirmatory and exploratory structural equation models. Specifically, at least five to six latent intercorrelated factors were necessary to reach acceptable model fit. However, a general CG factor accounted for most variance and ICG sum scores showed predictable associations with anxiety and depressive symptoms, which suggests that the ICG is essentially unidimensional. There are indications that other measures of pathological grief show similar inconsistencies. Overall, potentially emerging subfacets of the ICG should not be interpreted as distinct "symptom clusters." If time constraints are an issue as is often the case in clinical research, complicated grief may just be measured by a reduced item set without a significant loss of information or complexity.
《复杂性悲伤障碍量表》(Inventory of Complicated Grief,ICG)是心理肿瘤学、最佳支持治疗和姑息医学中常用的自我报告测量工具。然而,现有验证研究对于其结构效度的结果存在争议。本研究对 ICG 的潜在结构进行了心理计量学回顾和概念复制,以检验以下假设:现有研究过度拟合了不可靠的方差源,从而掩盖了 ICG 的单维性。在心理计量学回顾中提出的所有潜在模型都在一系列验证性和探索性结构方程模型中进行了测试。具体来说,至少需要五个到六个潜在的相互关联的因素才能达到可接受的模型拟合度。然而,一般的 CG 因素解释了大部分方差,并且 ICG 总分与焦虑和抑郁症状呈可预测的关联,这表明 ICG 本质上是单维的。有迹象表明,其他病理性悲伤的测量也存在类似的不一致性。总的来说,ICG 的潜在亚因素不应被解释为不同的“症状群”。如果时间限制是临床研究中经常出现的问题,那么可以使用简化的项目集来测量复杂性悲伤,而不会显著损失信息或增加复杂性。