دورية أكاديمية

Stress and Avoidant Coping: Predictors of Quality of Life among Filipino Graduating Students

التفاصيل البيبلوغرافية
العنوان: Stress and Avoidant Coping: Predictors of Quality of Life among Filipino Graduating Students
اللغة: English
المؤلفون: Orines, Richardson D. (ORCID 0009-0004-2232-7204), Dy, Maria Theresa Q., Huen, Kyla H., Maligaya, Kyla Nicole B., Pangan, Josella May G., Paulino, Nathalie D. C., Racimo, Kurt Mosi Y.
المصدر: European Journal of Psychology and Educational Research. 2023 6(2):77-83.
الإتاحة: Eurasian Society of Educational Research. 7321 Parkway Drive South, Hanover, MD 21076. e-mail: publisher@ejper.com; Web site: https://www.ejper.com/about-us
Peer Reviewed: Y
Page Count: 7
تاريخ النشر: 2023
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, College Seniors, Graduation, Stress Variables, Coping, Adjustment (to Environment), Social Psychology, Behavior, Motivation, Quality of Life, Predictor Variables, Relationship
مصطلحات جغرافية: Philippines
تدمد: 2589-949X
مستخلص: The responsibilities of emerging adulthood and academic pressure are some stressful situations encountered among graduating students. Those graduating students used different coping that deals with stressful situations that may affect their quality of life. This study, a predictive correlational design, was conducted on 202 Filipino graduating university/college students to determine if stress and avoidant coping can predict their quality of life. Results showed a significant relationship existed between stress, avoidant coping, and quality of life. Stepwise forward regression analysis tested two regression models, where model 1 revealed that stress negatively predicted the quality of life. Whereas model 2 suggested that stress and avoidant coping (i.e., behavioral disengagement) was significantly higher in predicting the quality of life among graduating students.
Abstractor: As Provided
Entry Date: 2023
رقم الأكسشن: EJ1392594
قاعدة البيانات: ERIC