The Walton Centre for Neurology and Neurosurgery, Lower Lane, Liverpool, UK; NIHR Collaboration for Leadership in Applied Health Research and Care for Greater Manchester, Centre for Primary Care, University of Manchester, Manchester, UK.
J Neurol Sci. 2013 Nov 15;334(1-2):112-8. doi: 10.1016/j.jns.2013.08.002. Epub 2013 Aug 9.
Social withdrawal is described as the condition in which an individual experiences a desire to make social contact, but is unable to satisfy that desire. It is an important issue for patients with motor neurone disease who are likely to experience severe physical impairment. This study aims to reassess the psychometric and scaling properties of the MND Social Withdrawal Scale (MND-SWS) domains and examine the feasibility of a summary scale, by applying scale data to the Rasch model.
The MND Social Withdrawal Scale was administered to 298 patients with a diagnosis of MND, alongside the Hospital Anxiety and Depression Scale. The factor structure of the MND Social Withdrawal Scale was assessed using confirmatory factor analysis. Model fit, category threshold analysis, differential item functioning (DIF), dimensionality and local dependency were evaluated.
Factor analysis confirmed the suitability of the four-factor solution suggested by the original authors. Mokken scale analysis suggested the removal of item five. Rasch analysis removed a further three items; from the Community (one item) and Emotional (two items) withdrawal subscales. Following item reduction, each scale exhibited excellent fit to the Rasch model. A 14-item Summary scale was shown to fit the Rasch model after subtesting the items into three subtests corresponding to the Community, Family and Emotional subscales, indicating that items from these three subscales could be summed together to create a total measure for social withdrawal.
Removal of four items from the Social Withdrawal Scale led to a four factor solution with a 14-item hierarchical Summary scale that were all unidimensional, free for DIF and well fitted to the Rasch model. The scale is reliable and allows clinicians and researchers to measure social withdrawal in MND along a unidimensional construct.
社交退缩是指个体有社交接触的欲望,但无法满足这种欲望的状态。这是运动神经元病患者的一个重要问题,因为他们很可能会经历严重的身体残疾。本研究旨在通过将量表数据应用于 Rasch 模型,重新评估 MND 社交退缩量表(MND-SWS)各领域的心理计量学和量表特性,并检验综合量表的可行性。
对 298 例 MND 患者进行 MND 社交退缩量表和医院焦虑抑郁量表的评估。采用验证性因子分析评估 MND 社交退缩量表的因子结构。评估模型拟合度、类别阈值分析、差异项目功能(DIF)、维度和局部依赖性。
因子分析证实了原始作者提出的四因素解决方案的适宜性。Mokken 量表分析建议删除项目五。Rasch 分析进一步删除了社区(一项)和情感(两项)退缩分量表中的三项。经过项目删减后,每个量表都与 Rasch 模型拟合良好。14 项简化量表在对项目进行三个分量表(社区、家庭和情感分量表)的子测试后,符合 Rasch 模型,表明来自这三个分量表的项目可以加总为社会退缩的总测量值。
从社交退缩量表中删除四项后,得到了一个四因素解决方案和一个 14 项分层简化量表,它们均为单维,无 DIF,与 Rasch 模型拟合良好。该量表具有可靠性,使临床医生和研究人员能够在 MND 中沿着单一结构测量社交退缩。