The Big Five Personality factors as Predictors of Digital Self-Hatred Among University Students.

Abstract

This study aims to identify the personality factors predicting digital self-loathing among university students. The study was conducted on a sample of 308 students, including 187 male students with a mean age of 14.5 years and a standard deviation of 3.4, and 121 female students with a mean age of 13.7 years and a standard deviation of 2.3. The study utilized the Five Factor Inventory (FFII-NEW 1992) by McCrae & Costa to measure personality factors and the Digital Self-Loathing Scale developed by Abdel-Karim (2023). The study found a statistically significant correlation between all dimensions of the Five Factor Inventory and all dimensions of digital self-loathing (ideal self-promotion, non-disclosure of deficiencies, and concealment of deficiencies), with all correlations being significant at 0.01. Additionally, there were no statistically significant differences between the average scores of the sample on all dimensions of the Five Factor Inventory across different academic fields (theoretical, practical). The study also concluded that the independent variable (major personality factors) significantly contributes to explaining the variance in the dependent variable (digital self-loathing) among the study sample.