Factors Predicting Emotional Intelligence among Women in Jordan

Objective Socioeconomic and lifestyle factors are important for Emotional Intelligence. The current study investigates the factors predicting EI among women in Jordan. Methods The study included 315 healthy women aged 18–45 years without ongoing health conditions. An assessment of sleep quality was performed using the Pittsburgh Sleep Quality Index (PSQI) while the Trait Meta-Mood Scale (TMMS) was used to assess EI. Results Multiple linear regression analysis showed that, among all variables included in the model, total sleep score ( p  = 0.03), monthly income ( p  = 0.04), and educational level ( p  = 0.04) were significantly associated with emotional intelligence. Furthermore, one-way ANOVA demonstrated a significant effect of educational level on TMMS scores ( p  < 0.001). One-way ANOVA showed a significant main effect of monthly income on TMMS scores ( p  < 0.001). Pearson product–moment correlation analysis indicated a significant negative association between sleep quality and TMMS scores ( r  = − 0.17, p  = 0.002), with higher global PSQI scores reflecting poorer sleep quality. Additionally, an independent-samples t -test showed significantly higher TMMS scores among participants with good sleep quality compared to those with poor sleep quality ( p  < 0.01). Conclusions The findings of this study demonstrate that educational level, monthly income, and sleep quality are significant predictors of emotional intelligence. It is important to consider lifestyle and socioeconomic factors when designing interventions to enhance EI.