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The Factor Structure and Generalizability of the Iranian Socioeconomic Status (Ses) Questionnaire Administered in a Nationally Divergent Population Publisher



H Sadeghibazargani HOMAYOUN ; Hh Soori Hamid H ; Sa Motevalian Seyed ABBAS ; O Aboubakri OMID ; A Jafarikhounigh ALI ; Ar Razzaghi Alireza REZA ; H Khankeh HAMIDREZA ; St Heydari Seyed TAGHI ; F Rezapurshahkolai FOROUZAN ; M Sehat MOJTABA
Authors

Source: Medical Journal of the Islamic Republic of Iran Published:2024


Abstract

Background: Measuring socioeconomic status (SES) as an independent variable is challenging, especially in epidemiological and social studies. This issue is more critical in large-scale studies on the national level. The present study aimed to extensively evaluate the validity and reliability of the Iranian SES questionnaire. Methods: This psychometric, cross-sectional study was conducted on 3000 households, selected via random cluster sampling from various areas in East Azerbaijan province and Tehran, Iran. Moreover, 250 students from Tabriz University of Medical Sciences were selected as interviewers to collect data from 40 districts in Iran. The construct validity and internal consistency of the SES questionnaire were assessed using exploratory and confirmatory factor analyses and the Cronbach’s alpha. Data analysis was performed in SPSS and AMOS. Results: The complete Iranian version of the SES questionnaire consists of 5 factors. The Cronbach’s alpha was calculated to be 0.79, 0.94, 0.66, 0.69, and 0.48 for the occupation, self-evaluation of economic capacity, house and furniture, wealth, and health expenditure, respectively. In addition, the confirmatory factor analysis results indicated the data’s compatibility with the 5-factor model (comparative fit index = 0.96; goodness of fit index = 0.95; incremental fit index = 0.96; root mean square error of approximation = 0.05). Conclusion: According to the results, the confirmed validity and reliability of the tool indicated that the Iranian version of the SES questionnaire could be utilized with the same structure on an extensive level and could be applicable for measuring the SES in a broader range of populations. © 2024 Elsevier B.V., All rights reserved.
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