Method: The data for this study comes from a national conducted across 31 provinces. The sample size consisted of 60,853 individuals. The sampling method employed a multi-stage cluster approach, where three cities were selected from each province based on the age and gender composition of the participants. The initial pool of items, consisting of 40 design items, was derived from previous studies. Expert approval established content validity, and data analysis was performed using SPSS software and exploratory factor analysis (EFA).
Additionally, manual checks were conducted to correct any erroneous data. In cases where correction was not feasible and there were substantial missing values, the affected individuals were excluded from the study. The initial study was cross-sectional, and the current study is of a secondary analysis type. Findings: Following exploratory factor analysis, 16 items remained in the model. These items loaded onto four factors: social responsibility, social trust, political participation, and organizational support. Collectively, these four factors explain 69.38% of the variance in the overall structure. Furthermore, the internal consistency of the questionnaire was confirmed with a Cronbach’s alpha coefficient of 0.88. Conclusion: Given the large and diverse participant pool, national implementation, favorable validity and reliability results, alignment with Iranian culture, and an appropriate number of questions compared to previous questionnaires, this tool is well-suited for measuring social health at the individual level.