Md Dilshad Manzar1, Unaise Abdul Hameed2, Mohammed Salahuddin3,4, Mohammad Yunus Ali Khan5,6, Dejen Nureye7, Wakuma Wakene8, Majed Alamri9, Abdulrhman Albougami1, Seithikuruppu R PandiPerumal10, Ahmed S Bahammam11,12. 1. Department of Nursing, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia. 2. Department of Physiotherapy, Fatima College of Health Sciences, Al Mafraq, Abu Dhabi City, UAE. 3. Department of Pharmacy, College of Medicine and Health Sciences, Mizan-Tepi University (Mizan Campus), Mizan-Aman, Ethiopia. salahuddin.mmohammed@gmail.com. 4. Pharmacology Division, Department of BioMolecular Sciences, University of Mississippi, Oxford, USA. salahuddin.mmohammed@gmail.com. 5. Department of Biomedical Sciences, College of Medicine and Health Sciences, Mizan-Tepi University (Mizan Campus), Mizan-Aman, Ethiopia. 6. Department of Anatomy, Arabian Gulf University, Manama, Bahrain. 7. Department of Pharmacy, College of Medicine and Health Sciences, Mizan-Tepi University (Mizan Campus), Mizan-Aman, Ethiopia. 8. Department of Clinical Pharmacy, Mettu University, Mettu, Ethiopia. 9. Nursing Department, College of Applied Medical Sciences, University of Hafr Al Batin, Haf Al Batin, Saudi Arabia. 10. Somnogen Canada Inc, College Street, Toronto, ON, Canada. 11. The University Sleep Disorders Center, College of Medicine, King Saud University, Box 225503, Riyadh, 11324, Saudi Arabia. 12. National Plan for Science and Technology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Abstract
BACKGROUND: 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. MATERIAL AND 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). RESULTS: 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. CONCLUSION: The categorical methods support the psychometric validity of the MS-Q in the study population.
BACKGROUND: 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. MATERIAL AND 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). RESULTS: 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. CONCLUSION: The categorical methods support the psychometric validity of the MS-Q in the study population.
Authors: Md Dilshad Manzar; Ahmad H Alghadir; Masood Khan; Mohammed Salahuddin; Hamid Yimam Hassen; Ahmed M Almansour; Dejen Nureye; Eyob Tekalign; Showkat Ahmad Shah; Seithikurippu R Pandi-Perumal; Ahmed S Bahammam Journal: Front Psychiatry Date: 2022-05-10 Impact factor: 5.435