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Fonseca 病史指数用于肌源性颞下颌关节紊乱病诊断的因子和 Rasch 分析。

Factor and Rasch analysis of the Fonseca anamnestic index for the diagnosis of myogenous temporomandibular disorder.

机构信息

Programa de Pós-graduação em Ciências do Movimento Humano, Universidade Metodista de Piracicaba (UNIMEP), Piracicaba, SP, Brazil.

Programa de Pós-graduação em Ciências do Movimento Humano, Universidade Metodista de Piracicaba (UNIMEP), Piracicaba, SP, Brazil.

出版信息

Braz J Phys Ther. 2017 Mar-Apr;21(2):120-126. doi: 10.1016/j.bjpt.2017.03.007. Epub 2017 Mar 17.

Abstract

BACKGROUND

Rasch analysis has been used in recent studies to test the psychometric properties of a questionnaire. The conditions for use of the Rasch model are one-dimensionality (assessed via prior factor analysis) and local independence (the probability of getting a particular item right or wrong should not be conditioned upon success or failure in another).

OBJECTIVE

To evaluate the dimensionality and the psychometric properties of the Fonseca anamnestic index (FAI), such as the fit of the data to the model, the degree of difficulty of the items, and the ability to respond in patients with myogenous temporomandibular disorder (TMD).

METHODS

The sample consisted of 94 women with myogenous TMD, diagnosed by the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD), who answered the FAI. For the factor analysis, we applied the Kaiser-Meyer-Olkin test, Bartlett's sphericity, Spearman's correlation, and the determinant of the correlation matrix. For extraction of the factors/dimensions, an eigenvalue >1.0 was used, followed by oblique oblimin rotation. The Rasch analysis was conducted on the dimension that showed the highest proportion of variance explained.

RESULTS

Adequate sample "n" and FAI multidimensionality were observed. Dimension 1 (primary) consisted of items 1, 2, 3, 6, and 7. All items of dimension 1 showed adequate fit to the model, being observed according to the degree of difficulty (from most difficult to easiest), respectively, items 2, 1, 3, 6, and 7.

CONCLUSION

The FAI presented multidimensionality with its main dimension consisting of five reliable items with adequate fit to the composition of its structure.

摘要

背景

最近的研究已经使用了 Rasch 分析来测试问卷的心理计量学特性。Rasch 模型的使用条件是一维性(通过先前的因素分析评估)和局部独立性(答对或答错特定项目的概率不应取决于另一项目的成功或失败)。

目的

评估 Fonseca 病史指数(FAI)的维度和心理计量学特性,例如数据对模型的拟合程度、项目的难度程度以及在肌源性颞下颌关节紊乱(TMD)患者中做出反应的能力。

方法

该样本由 94 名被诊断为肌源性 TMD 的女性组成,这些女性符合颞下颌关节紊乱研究诊断标准(RDC/TMD),并回答了 FAI。对于因子分析,我们应用了 Kaiser-Meyer-Olkin 检验、Bartlett 球形检验、Spearman 相关系数和相关矩阵的行列式。为了提取因子/维度,我们使用了特征值>1.0,然后进行了斜交 oblimin 旋转。Rasch 分析是在显示最高比例方差解释的维度上进行的。

结果

观察到足够的样本“n”和 FAI 的多维性。第一维度(主要维度)由项目 1、2、3、6 和 7 组成。第一维度的所有项目都与模型有足够的拟合度,按照难度程度(从最难到最容易)观察到,分别为项目 2、1、3、6 和 7。

结论

FAI 呈现出多维性,其主要维度由五个可靠的项目组成,与结构组成具有足够的拟合度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cbc/5537471/88ed2d960d90/gr1.jpg

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