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多维疲劳量表(MFI)是一种用于评估疲劳的工具的心理测量学特性。

The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue.

作者信息

Smets E M, Garssen B, Bonke B, De Haes J C

机构信息

University of Amsterdam, Department of Medical Psychology, The Netherlands.

出版信息

J Psychosom Res. 1995 Apr;39(3):315-25. doi: 10.1016/0022-3999(94)00125-o.

DOI:10.1016/0022-3999(94)00125-o
PMID:7636775
Abstract

The Multidimensional Fatigue Inventory (MFI) is a 20-item self-report instrument designed to measure fatigue. It covers the following dimensions: General Fatigue, Physical Fatigue, Mental Fatigue, Reduced Motivation and Reduced Activity. This new instrument was tested for its psychometric properties in cancer patients receiving radiotherapy, patients with the chronic fatigue syndrome, psychology students, medical students, army recruits and junior physicians. We determined the dimensional structure using confirmatory factor analyses (LISREL's unweighted least squares method). The hypothesized five-factor model appeared to fit the data in all samples tested (AGFIs > 0.93). The instrument was found to have good internal consistency, with an average Cronbach's alpha coefficient of 0.84. Construct validity was established after comparisons between and within groups, assuming differences in fatigue based on differences in circumstances and/or activity level. Convergent validity was investigated by correlating the MFI-scales with a Visual Analogue Scale measuring fatigue (0.22 < r < 0.78). Results, by and large, support the validity of the MFI.

摘要

多维疲劳量表(MFI)是一种包含20个条目的自评工具,旨在测量疲劳。它涵盖以下几个维度:总体疲劳、身体疲劳、精神疲劳、动力下降和活动减少。该新工具在接受放疗的癌症患者、慢性疲劳综合征患者、心理学专业学生、医学专业学生、新兵和初级医生中对其心理测量学特性进行了测试。我们使用验证性因素分析(LISREL的非加权最小二乘法)确定维度结构。假设的五因素模型在所有测试样本中似乎都与数据拟合良好(AGFI>0.93)。该工具具有良好的内部一致性,平均克朗巴赫α系数为0.84。在基于情况和/或活动水平差异假设疲劳差异的情况下,通过组间和组内比较建立了结构效度。通过将MFI量表与测量疲劳的视觉模拟量表进行相关分析来研究收敛效度(0.22<r<0.78)。总体而言,结果支持MFI的效度。

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