Predictors of well-being among students : A Meta – Analysis | ||||
| Journal of Research in Curriculum Instruction and Educational Technology | ||||
| Article 5, Volume 7, Issue 2, April 2021, Page 123-154 PDF (935.35 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jrciet.2021.163343 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Dr. Hala Abd Ellatif Ramadan | ||||
| Associate professor in mental hygiene- College of Education – Department of Mental Hygiene- Suez Canal University- Egypt | ||||
| Abstract | ||||
| Abstract W ell-being relates to the extent to which an individual is feeling good and functioning positively. In this research, well-being is generally taken to be measured across six key indicators – mindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability.Using meta-analytic techniques the current study summarized cross-sectional data to examine: (a) which stronger predictors are related to well-being among students.Online databases were searched. Cross-sectional studies were included if they (a) assessed well-being among university students, (c) reported correlations or between-groups data (predictors of well-being). Twenty-three studies (n= 10506) were included in random-effect meta-analyses. Effect size on relation of predictors to well-being was medium. Predictors were strongly associated with well-being [r= 0.447, p=.0001].Using meta-analytic technique, the current study examined predictors of well-being among students, and it revealed that factors such as “mindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability are strong predictors of well-being. Abstract W ell-being relates to the extent to which an individual is feeling good and functioning positively. In this research, well-being is generally taken to be measured across six key indicators – mindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability.Using meta-analytic techniques the current study summarized cross-sectional data to examine: (a) which stronger predictors are related to well-being among students.Online databases were searched. Cross-sectional studies were included if they (a) assessed well-being among university students, (c) reported correlations or between-groups data (predictors of well-being). Twenty-three studies (n= 10506) were included in random-effect meta-analyses. Effect size on relation of predictors to well-being was medium. Predictors were strongly associated with well-being [r= 0.447, p=.0001].Using meta-analytic technique, the current study examined predictors of well-being among students, and it revealed that factors such as “mindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability are strong predictors of well-being. | ||||
| Keywords | ||||
| Keywords: predictors; well-being; university; students; meta – analysis | ||||
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