AI Summary & Key Takeaways
AI InsightIt has also been found that as the system justification tendency increased, the score of optimism increased.
📌 3 Key Takeaways
Abstract
The purpose of this research is to investigate if the system justification tendency and demographic variables (gender, old, socio-economic level, mother’s and father’s educational level, political view) predict the optimism and demographic variables predict the system justification tendency. The study group consisted of 434 students (282 female, 152 male) attending to different university in Ankara. System Justification Scale, Optimism Scale and the Personal Information Form were used to in the research. This research was questioned which variables predict the optimism and system justification with multiple linear regression analysis (stepwise method). Secondly, Point biserial correlation analysis was used to determine relationship between gender and optimism and Pearson’s product moment correlation coefficient to determine the relationship between the other variables. The result of these analysis indicated that political view, gender and system justification predicted the optimism; mother’s educational level and political view predicted system justification. At the same time, it was seen that female were more optimistic than male; political view approached to the right, the level of system justification and optimism increased. It has also been found that as the system justification tendency increased, the score of optimism increased.