Shen Minxue, Cui Yuanwu, Hu Ming, Xu Linyong
Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, People's Republic of China.
BMC Complement Altern Med. 2017 Jan 13;17(1):44. doi: 10.1186/s12906-016-1518-x.
The study aimed to validate a scale to assess the severity of "Yin deficiency, intestine heat" pattern of functional constipation based on the modern test theory.
Pooled longitudinal data of 237 patients with "Yin deficiency, intestine heat" pattern of constipation from a prospective cohort study were used to validate the scale. Exploratory factor analysis was used to examine the common factors of items. A multidimensional item response model was used to assess the scale with the presence of multidimensionality.
The Cronbach's alpha ranged from 0.79 to 0.89, and the split-half reliability ranged from 0.67 to 0.79 at different measurements. Exploratory factor analysis identified two common factors, and all items had cross factor loadings. Bidimensional model had better goodness of fit than the unidimensional model. Multidimensional item response model showed that the all items had moderate to high discrimination parameters. Parameters indicated that the first latent trait signified intestine heat, while the second trait characterized Yin deficiency. Information function showed that items demonstrated highest discrimination power among patients with moderate to high level of disease severity.
Multidimensional item response theory provides a useful and rational approach in validating scales for assessing the severity of patterns in traditional Chinese medicine.
本研究旨在基于现代测试理论验证一个用于评估功能性便秘“阴虚肠热证”严重程度的量表。
使用一项前瞻性队列研究中237例便秘“阴虚肠热证”患者的汇总纵向数据来验证该量表。采用探索性因子分析来检验项目的共同因子。使用多维项目反应模型在存在多维性的情况下评估该量表。
不同测量时,克朗巴哈系数在0.79至0.89之间,分半信度在0.67至0.79之间。探索性因子分析确定了两个共同因子,所有项目均有交叉因子负荷。二维模型的拟合优度优于一维模型。多维项目反应模型表明所有项目具有中等至高的区分参数。参数表明第一个潜在特质表示肠热,而第二个特质表征阴虚。信息函数表明项目在疾病严重程度为中度至高的患者中表现出最高的区分能力。
多维项目反应理论为验证评估中医证型严重程度的量表提供了一种有用且合理的方法。