Logistic regression in predicting bullying based on the components of emotional intelligence and spiritual intelligence.

The aim of this study was to use logistic regression in predicting bullying based on the components of emotional intelligence and spiritual intelligence. The statistical population of the present study included all high school students in Najafabad. A total of 447 students (225 girls and 222 boys) were selected by multi-stage cluster sampling. In order to analyze the data and predict group membership (bullying or not) based on predictor variables of E.I (perception of emotions, etc.) and components of S.I (field of thinking, etc.) logistic regression was used. For the fit index of the regression model, R2 Cox and Snell and R2 Nagel crack and in order to check the consistency of the predicted probabilities with the observed probabilities, Hausmer and Lemshu tests were used. The results show that 87.5% of all cases are correctly classified (87.5%). Also, with the entry of predictor variables into the equation, out of 233 non-bullies, 207 (88.8%), 204 bullies, 184 (86%) have been correctly predicted. Parent statistics show the significance of B coefficients. Predictor variables including understanding the emotions and feelings of oneself and others (E.I component), thinking context and critical dimension (S.I component) and moral values (spiritual intelligence component) play a significant role in predicting group membership (bullying or not). Other variables in the presence of these three variables did not play a significant role in predicting group membership (bullying or not). Awareness of teachers, counselors, educational psychologists, parents and other education professionals about research variables can help to improve students' academic performance.