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The Relative Contribution of the Big Five Personality Traits to Predicting Nomophobia Among Yarmouk University Students

Year: 2026
Type: article
Study design: Observational Study
Abstract: This study aimed to examine the relative contribution of the Big Five personality traits in predicting nomophobia among Yarmouk University students. It also aimed to identify differences by gender, college, and academic level. To achieve the study’s objectives, the Big Five Personality Traits and Nomophobia Scale were administered to a sample of 798 male and female students at Yarmouk University. The researchers used convenience sampling. The results showed that openness to experience ranked first among the Big Five personality traits of Yarmouk University students. The “acceptability” trait ranked the lowest. The results showed a significant difference in acceptability based on gender, favoring male participants. No significant differences were observed based on college. However, there was a significant difference in both extroversion and neuroticism based on academic level, favoring the undergraduate students. The results also showed a moderate level of nomophobia, with no significant differences in nomophobia levels based on gender or academic status. There was a significant difference based on college, favoring students in the humanities and social sciences. Regression analysis revealed that “acceptability” and “neuroticism” together explained 25.10% of the variance in nomophobia. “Acceptability” explained 19.80% of the variance in the predictive model, whereas neuroticism explained 5.30%. “Openness to Experience”, “Conscientiousness”, and “Extraversion” did not show a significant predictive contribution. Based on these findings, this study recommends designing guidance and prevention programs to reduce nomophobia among Yarmouk University students. Moreover, the researchers focused on “acceptability” and “neuroticism” as predictors of nomophobia and promoted balanced smartphone use.
Institution: Yarmouk University
Language: English
Open Access status: hybrid
OpenAlex ID: W7214016468
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