The Relationship between Sleep Quality and Decision-Making
(A Predictive Study)
DOI:
https://doi.org/10.33193/AJHASS.63Keywords:
Sleep Quality, Decision-Making, University Students, Prediction, Gender DifferencesAbstract
The present study aimed to examine the relationship between sleep quality and decision-making among university students, as well as to identify possible differences in both variables according to gender. It also sought to test the extent to which sleep quality could predict decision-making. The study adopted a Predictive-correlational design, and the sample consisted of 120 randomly selected male and female undergraduate students. The researcher employed the Sleep Quality Scale developed by Ibrahim (2023) and the Decision-Making Scale developed by Abdoun (2000), after verifying their validity and reliability. The results revealed no statistically significant differences between males and females in either sleep quality or decision-making, indicating that gender does not represent a determining factor for these variables within the university environment. Findings further showed that both sleep quality and decision-making levels were moderate among the students. Pearson correlation analysis indicated a significant positive relationship between sleep quality and decision-making, suggesting that better sleep quality is associated with higher efficiency in decision-making. Regression analysis also demonstrated that sleep quality significantly predicts decision-making. These results highlight that good sleep quality constitutes an important cognitive and emotional factor that enhances an individual’s capacity for focus, analysis, planning, and making sound decisions in academic and daily contexts. The study recommends increasing awareness of the importance of healthy and regular sleep, and integrating targeted educational and training programs within universities to enhance sleep quality and strengthen students’ decision-making skills.
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