Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue
Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue
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DOI：
10.1007/s11136-006-0060-6
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发表时间：
2006-09-01
影响因子：
3.5
通讯作者：
Cella, David
中科院分区：
文献类型：
--
作者：
Lai, Jin-Shei;Crane, Paul K.;Cella, David
背景：疲劳是癌症患者最常见的未缓解症状。本研究的目的是检查癌症相关性疲劳（CRF）是否可以使用单一评分进行总结，也就是说，对于需要或假设一维的测量方法，CRF是否足够一维。我们评估了这个问题，使用因素分析技术，包括理论驱动的双因素模型。研究方法：来自芝加哥大都市区的555名癌症患者完成了一个72项疲劳项目库，涵盖了一系列与疲劳相关的问题，包括强度、频率和对身体、精神和社会活动的干扰。采用探索性和验证性因素分析（CFA）技术进行了评估。结果：探索性因素分析（EFA）技术确定了1至17个因素。双因素模型表明，CRF是足够的一维。结论：CRF可以被认为是足够的一维的应用程序，需要一维。项目反应理论（IRT）就是这样一种应用，它将促进简式测验和计算机自适应测验的发展。这可以进一步实现CRF的实际和准确的临床评估。
Background: Fatigue is the most common unrelieved symptom experienced by people with cancer. The purpose of this study was to examine whether cancer-related fatigue (CRF) can be summarized using a single score, that is, whether CRF is sufficiently unidimensional for measurement approaches that require or assume unidimensionality. We evaluated this question using factor analysis techniques including the theory-driven bi-factor model. Methods: Five hundred and fifty five cancer patients from the Chicago metropolitan area completed a 72-item fatigue item bank, covering a range of fatigue-related concerns including intensity, frequency and interference with physical, mental, and social activities. Dimensionality was assessed using exploratory and confirmatory factor analysis (CFA) techniques. Results: Exploratory factor analysis (EFA) techniques identified from 1 to 17 factors. The bi-factor model suggested that CRF was sufficiently unidimensional. Conclusions: CRF can be considered sufficiently unidimensional for applications that require unidimensionality. One such application, item response theory (IRT), will facilitate the development of short-form and computer-adaptive testing. This may further enable practical and accurate clinical assessment of CRF.