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Deriving an overall appearance domain score by applying bifactor IRT analysis to the BODY-Q appearance scales

机译:通过将双层器IRT分析应用于Body-Q外观尺度来导出整体外观域分数

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Purpose With the BODY-Q, one can assess outcomes, such as satisfaction with appearance, in weight loss and body contouring patients using multiple scales. All scales can be used independently in any given combination or order. Currently, the BODY-Q cannot provide overall appearance scores across scales that measure a similar super-ordinate construct (i.e., overall appearance), which could improve the scales' usefulness as a benchmarking tool and improve the comprehensibility of patient feedback. We explored the possibility of establishing overall appearance scores, by applying a bifactor model to the BODY-Q appearance scales. Methods In a bifactor model, questionnaire items load onto both a primary specific factors and a general factor, such as satisfaction with appearance. The international BODY-Q validation patient sample (n = 734) was used to fit a bifactor model to the appearance domain. Factor loadings, fit indices, and correlation between bifactor appearance domain and satisfaction with body scale were assessed. Results All items loaded on the general factor of their corresponding domain. In the appearance domain, all items demonstrated adequate item fit to the model. All scales had satisfactory fit to the bifactor model (RMSEA 0.045, CFI 0.969, and TLI 0.964). The correlation between the appearance domain summary scores and satisfaction with body scale scores was found to be 0.77. Discussion We successfully applied a bifactor model to BODY-Q data with good item and model fit indices. With this method, we were able to produce reliable overall appearance scores which may improve the interpretability of the BODY-Q while increasing flexibility.
机译:目的与Body-Q,人们可以评估结果,如外观的满意度,体重减轻和使用多个尺度的身体轮廓患者。所有尺度可以在任何给定的组合或订单中独立使用。目前,Body-Q不能在测量类似的超级纵坐标结构(即整体外观)的尺度上提供整体外观分数,这可以将尺度的有用性提高为基准工具,并改善患者反馈的可理解性。我们探讨了通过将双层运动模型应用于Body-Q外观尺度来建立整体外观评分的可能性。方法在双层模型中,调查问卷物品在主要特定因素和一般因素中加载,例如与外观满意度。使用国际Body-Q验证患者样品(n = 734)将双击模型适合外观域。评估因子装载,拟合指数和双层幕外观域与体秤满意度的相关性。结果所有项目加载到它们对应域的一般因子。在外观域中,所有项目都表现出足够的项目适合模型。所有秤都令人满意地适合双移位器模型(RMSEA 0.045,CFI 0.969和TLI 0.964)。发现外观结构域摘要评分与体级评分的满意度为0.77。讨论我们通过良好的项目和型号FIT指标成功将双层模型应用于Body-Q数据。通过这种方法,我们能够产生可靠的整体外观分数,这可以提高正文Q的可解释性,同时提高灵活性。

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