Department of Nursing, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia.
Department of Physiotherapy, Fatima College of Health Sciences, Al Mafraq, Abu Dhabi City, UAE.
Health Qual Life Outcomes. 2020 Apr 28;18(1):113. doi: 10.1186/s12955-020-01361-9.
Psychometric investigations of tools used in the screening of migraine including the migraine screen questionnaire (MS-Q), using an adequate statistical approach is needed. We assessed the psychometric properties of the migraine screen questionnaire (MS-Q) using categorical data methods.
A total of 343 students at Mizan-Tepi University, Ethiopia, age range = 18-35 years were selected by a simple random sampling method to participate in a cross-sectional study. The respondents completed the MS-Q, a semi-structured socio-demographic questionnaire, and a visual analog scale for attention (VAS-A).
The cumulative variance rule (> 40%), the Kaiser's criteria (Eigenvalue> 1), the Scree test and, the parallel analysis (minimum rank) identified a 1-factor model for the MS-Q with the factor loadings in the range of 0.78 to 0.84. Fit indices favored a 1-factor model of the MS-Q as indicated by comparative fit index (0.993), weighted root mean square residual (0.048), root mean square error of approximation (0.067), the goodness of fit index (1.00), and non-normed fit index (0.987). The values of the Factor Determinacy Index (0.953), marginal reliability (0.909), H-latent (0.909), H-observed (0.727), explained common variance (0.906) and the mean item residual absolute loadings (0.225) further complimented finding of the 1-Factor model. McDonald's Omega (0.903) suggested adequate internal consistency. Discriminative validity was supported by significantly higher scores for the total and all the MS-Q items except one among those with complaints of attention.
The categorical methods support the psychometric validity of the MS-Q in the study population.
在偏头痛的筛查中使用的工具（包括偏头痛筛查问卷[MS-Q]）需要使用适当的统计方法进行心理计量学研究。我们使用分类数据方法评估了偏头痛筛查问卷（MS-Q）的心理计量学特性。
在埃塞俄比亚米赞-蒂皮大学，采用简单随机抽样法选取了 343 名年龄在 18-35 岁之间的学生参加横断面研究。受访者完成了 MS-Q、半结构化社会人口学问卷和注意力视觉模拟量表（VAS-A）。
累积方差规则（>40%）、Kaiser 标准（特征值>1）、 scree 检验和并行分析（最小秩）确定了 MS-Q 的 1 因子模型，因子负荷在 0.78 到 0.84 之间。拟合指数表明 MS-Q 的 1 因子模型较好，包括比较拟合指数（0.993）、加权均方根残差（0.048）、近似均方根误差（0.067）、拟合优度指数（1.00）和非标准化拟合指数（0.987）。因子确定性指数（0.953）、边际可靠性（0.909）、H-潜在（0.909）、H-观察（0.727）、解释共同方差（0.906）和平均项目残差绝对值负荷（0.225）的值进一步补充了 1 因子模型的发现。McDonald's Omega（0.903）表明内部一致性良好。判别效度得到支持，因为除了一个项目外，总得分和 MS-Q 所有项目的得分在有注意力抱怨的人群中显著较高。
分类方法支持了研究人群中 MS-Q 的心理计量学有效性。
