慢性病患儿疾病不确定性儿童量表的探索性与验证性因素分析
Exploratory and confirmatory factor analysis of the Child Uncertainty in Illness Scale among children with chronic illness.
作者信息
Pai Ahna L H, Mullins Larry L, Drotar Dennis, Burant Christopher, Wagner Janelle, Chaney John M
机构信息
The Children's Hospital of Philadelphia, Division of Oncology, 34th Street & Civic Center Boulevard, Room 1487, CHOP North, Philadelphia, Pennsylvania 19104, USA.
出版信息
J Pediatr Psychol. 2007 Apr;32(3):288-96. doi: 10.1093/jpepsy/jsl021. Epub 2006 Jul 13.
OBJECTIVE
To conduct an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) of the Child Uncertainty in Illness Scale (CUIS) with a sample of children and adolescents with a chronic health condition. Developmental differences in factor structure were also examined.
METHODS
A sample of 373 children aged 8-18 years with chronic conditions completed the CUIS as a part of a larger battery of measures.
RESULTS
The EFA yielded a 16-item two-factor model termed Unpredictability/Ambiguity and Comprehension. The CFA yielded a 14-item two-factor model that fits the data very well, where chi2(df = 74) = 95.396, Comparative Fit Index (CFI) = .973, Tucker Lewis Index (TLI) = .967, and Root Mean Square error of approximation (RMSEA) = .038. No developmental differences were found in underlying factor structures: Deltachi2(df = 12) = 17.754, DeltaCFI = .004, DeltaTLI = -.001, and DeltaRMSEA = .000.
CONCLUSIONS
The two-factor CUIS measure could be a useful tool for assessing illness uncertainty among children with chronic illness.
目的
对患有慢性健康问题的儿童和青少年样本进行儿童疾病不确定性量表（CUIS）的探索性因素分析（EFA）和验证性因素分析（CFA）。同时考察因素结构的发育差异。
方法
373名8 - 18岁患有慢性疾病的儿童完成了CUIS，作为一系列更大规模测量的一部分。
结果
探索性因素分析得出一个16项的双因素模型，称为不可预测性/模糊性和理解。验证性因素分析得出一个14项的双因素模型，该模型与数据拟合得非常好，其中卡方（自由度 = 74）= 95.396，比较拟合指数（CFI）= 0.973，塔克·刘易斯指数（TLI）= 0.967，近似误差均方根（RMSEA）= 0.038。在潜在因素结构中未发现发育差异：Δ卡方（自由度 = 12）= 17.754，ΔCFI = 0.004，ΔTLI = -0.001，ΔRMSEA = 0.000。
结论
双因素CUIS测量可能是评估慢性病患儿疾病不确定性的有用工具。
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