Validation of the factor structure and psychometric characteristics of the Arabic adaptation of the sense of coherence SOC-13 scale: a confirmatory factor analysis

Background The sense of coherence is as focused on one's awareness of the level of pervasive, enduring, and dynamic feelings. Stronger sense of coherence leads to better physical and mental health and promotes recovery from life stressors. Sense of coherence-13 (SOC-13) is a 13-item valid and reliable measure for individual's healthy living. However, the factor structure of SOC-13 was criticized in several cultures and languages. The current study was set to explore the factor structure of an Arabic adaptation for SOC-13. Methods This cross-sectional study of the SOC-13 included (n = 1235) Arabic speaking individuals. We used confirmatory factor analysis to contrast unidimensional, bidimensional, three-dimensional, and four-dimensional factor structure for the SOC-13. We carried out measurement invariance analysis across age and gender groups to examine the stability of fit indices among participants' subgroups. Results We found the reliability coefficient to be 0.82, indicative of good internal consistency. The three-factor structure, after modification of items 1, 2, and 3 was the best-fitting factor model. However, measurement invariance was indicative of discrepancy for the three-factor model between genders and age classes. The mean overall SOC-13 total score in our sample was 52.1 (SD = 16.1). Conclusions The SOC-13 showed acceptable psychometric properties in terms of internal consistency and a modified three-factor structure in its Arabic version. However, the reliability of the three underlying dimensions was sub-optimum. Moreover, the three-factor structure requires modification by either removing the first three problematic items or allowing the residuals to correlate.

Automated summary

The study examined the factor structure of an Arabic adaptation for SOC-13 among 1235 Arabic speaking individuals. It found that the modified three-factor structure was the best fitting model, but there were measurement invariance discrepancies between genders and age groups.