multiple regression analysis

The Persian translation of the emotion regulation strategies inventory (Gross & John, 2003) was validated among Iranian EFL teachers. The predictive power of variables, i.e. educational background, working experience, gender, and age was also appraised. To do so, 250 EFL teachers with at least five-year teaching experience at the universities of two states, Isfahan and Fars, were invited to take part in the study. The non-random convenient sampling technique was then adopted. Filling out the inventory was done after the class time. The results of the principal component analysis (varimax rotation) verified the original two-factor model. The multiple regression analysis done by AMOS software also revealed that demographic variables could significantly affect teachers’ emotion regulation, though their effect in the present sample was small (R2=0.08 and R2=0.02). The results also suggested that the teachers disagreed about the use of expressive suppression in their classes (m=3.28) and were rather undecided as to the use of cognitive reappraisal in their teaching (m=4.49).

While the bulk of literature repletes with studies on emotional intelligence and its effect on teachers' performance and students' academic achievement, few have been released as to the potency of the factors that can foster emotional intelligence inside classrooms. Accordingly, the present study aimed to investigate the extent to which spiritual intelligence could be a predictor of emotional intelligence. The data were collected through a merger of the Brief Emotional Intelligence Scale (BEIS-10) and Spiritual Intelligence Self-Report Inventory (SISRI).  The evolved 34-item questionnaire was translated into Persian to ensure maximum comprehension of participants. The sample of this study consisted of 847 undergraduate Iranian EFL learners from two provinces in Iran. Three phases were in this study. First, an exploratory factor analysis of SISRI-24 was performed. Second, confirmatory factor analysis of both inventories, individually, was done by IBM SPSS AMOS. This was followed by CFA of the 34-item questionnaire. Last, multiple regression analysis was modeled to find the predictive relationships. The results of PCA revealed a three-factor model of SISRI (18 statements). CFA also verified both inventories under investigation. The model fit estimated of the 34-item questionnaire was sufficiently adequate to approve the model. Multiple regression analysis also indicated that critical existential thinking could predict both appraisal and regulation of own emotions as well as utilization of emotions. Likewise, conscious state expansion could predict the utilization of emotions. It was also found that personal meaning production could predict the appraisal of other emotions.