来自七个样本的多维疲劳量表 MFI-20 的心理测量特性,Journal of Pain and Symptom Management

当前位置： X-MOL 学术 › J. Pain Symptom Manage. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

来自七个样本的多维疲劳量表 MFI-20 的心理测量特性
Journal of Pain and Symptom Management ( IF 3.2 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.jpainsymman.2019.12.005
Andreas Hinz ₁ , Christian Benzing ₂ , Elmar Brähler ₃ , Markus Zenger ₄ , Philipp Y Herzberg ₅ , Carolyn Finck ₆ , Bjarne Schmalbach ₇ , Katja Petrowski ₈

Affiliation

Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany.
Department of Surgery, Campus Charité-Mitte, Campus Virchow-Klinikum, Charité Universitätsmedizin, Berlin, Germany.
Department of Medical Psychology and Medical Sociology, University of Leipzig, Leipzig, Germany; Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Faculty of Applied Human Studies, University of Applied Sciences Magdeburg and Stendal, Stendal, Germany; Integrated Research and Treatment Center Adiposity Diseases, Leipzig University Medical Center, Leipzig, Germany.
Personality Psychology and Psychological Assessment, Faculty of Humanities and Social Sciences, Helmut Schmidt University of the Federal Armed Forces Hamburg, Hamburg, Germany.
Department of Psychology, Universidad de los Andes, Bogotá, Colombia.
Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Mainz, Mainz, Germany.

背景疲劳是慢性病患者的常见症状。多维疲劳量表 MFI-20 通常用于测量疲劳。本文的目的是检验问卷的量表结构。方法 MFI-20 数据来自 7 个样本，包括一般人群样本和不同疾病患者样本（N 介于 122 和 1993 年之间）。对每个样本测试了五个验证性因素分析 (CFA) 模型。结果原始测试作者假设的量表结构无法得到 CFA 的证实。包含考虑项目的正面与负面方向的方法因素产生了更好的模型拟合。大多数样本和量表的 Cronbach's alpha 是可以接受的：MFI-20 的总分达到 alpha 系数大于 0。89. 仅限于 10 个积极导向项目（MFI-10）的 MFI-20 的简短形式显示出相对较好的 CFA 指数。结论 MFI-20 的因子效度是不够的，这个问题至少部分是由于包含了积极和消极导向的项目。尽管如此，我们建议保持 MFI-20 的规模结构，而不是寻找替代结构。

"点击查看英文标题和摘要"

Psychometric Properties of the Multidimensional Fatigue Inventory MFI-20, Derived from Seven Samples

CONTEXT Fatigue is a frequent symptom in patients suffering from chronic diseases. The Multidimensional Fatigue Inventory MFI-20 is often used to measure fatigue. The aim of this article is to test the scale structure of the questionnaire. METHODS The MFI-20 data were obtained from seven samples, including general population samples and samples of patients with different diseases (N between 122 and 1993). Five confirmatory factor analysis (CFA) models were tested for each sample. RESULTS The scale structure postulated by the original test authors could not be confirmed by the CFAs. The inclusion of a method factor which considers the positive vs. the negative orientation of the items yielded a better model fit. Cronbach's alpha was acceptable for most of the samples and scales: the total score of the MFI-20 reached alpha coefficients above 0.89. A short form of the MFI-20 which is restricted to the 10 positively oriented items (MFI-10) showed relatively good CFA indices. CONCLUSION The factorial validity of the MFI-20 is insufficient, an issue which is due, at least in part, to the inclusion of positively and negatively oriented items. Nevertheless, we recommend maintaining the scale structure of the MFI-20 and not searching for alternative structures.

更新日期：2020-03-01

点击分享查看原文

点击收藏

阅读更多本刊新发论文本刊介绍/投稿指南