Aspects of Personality that Predict Resilience among Lebanese University Students
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2016
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Abstract
The purpose of the study was to examine which aspects of personality predict change in total resilience scores among Lebanese university students. It was hypothesized that broad personality factors (positive emotionality, negative emotionality, and constraint) would significantly predict total resilience score. More specifically, achievement motivation, wellbeing, social potency, and stress reaction traits would be among the significant predictors of resilience. The Multidimensional Personality Questionnaire Brief Form (MPQ-BF) and the Connor Davidson Resilience Scale (CD-RISC) were used as instruments as well as a demographic data sheet. A total of 180 participants were recruited through convenience sampling from 3 different private universities in Lebanon. Data were analyzed using descriptive statistics, Pearson correlations, t-tests, Analysis of Variance, and standard Multivariate regression analysis. Positive emotionality and negative emotionality significantly predicted 20.2% of the variance in total resilience score, with positive emotionality being the stronger predictor. Achievement motivation, well-being, and stress reaction significantly predicted 28.1% variability in total resilience score, with Achievement motivation being the stronger predictor. Overall, mental health professionals and counselors can use the findings on positive emotionality, negative emotionality, achievement motivation, wellbeing, and stress reaction scales to help students better mitigate daily stressors and to promote everyday resilience.
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Daouk, S. (2016). Aspects of Personality that Predict Resilience among Lebanese University Students (SBS thesis, Haigazian University)