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The Contribution of the Big Five Factors of Personality in Predicting the Psychological Symptoms as a Responses to the COVID-19 Pandemic Frist Wave

المصدر: علم النفس
الناشر: الهيئة المصرية العامة للكتاب
المؤلف الرئيسي: Khalil, Elham A. (Author)
مؤلفين آخرين: Kamal, Amal (Co-Author) , El-Shenawy, Omnia (Co-Author)
المجلد/العدد: س35, ع133
محكمة: نعم
الدولة: مصر
التاريخ الميلادي: 2022
الشهر: يونية
الصفحات: 21 - 49
ISSN: 1110-0745
رقم MD: 1306081
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch
مواضيع:
كلمات المؤلف المفتاحية:
Covid-19 | SCL-40 | Big Five Factors of Personality | Gender and Educational Level
رابط المحتوى:
صورة الغلاف QR قانون

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المستخلص: The present study examined the relationship between big five factors of personality, some of the psychological symptoms (PS) and the demographic variables, and how these variables contribute to PS variance as a response to COVID 19 pandemic during the first wave time. Symptom Checklist 40 (SCL-40) and The Arabic Big Five Personality Inventory were responded online by 530 participants, 375 females and 155 males, 454 Egyptians, and 69 are of other Arab nationalities. Results indicated that Neuroticism correlated positively with all PS, Extraversion and consciousness correlated negatively with all PS, Agreeableness correlated positively only with Psychosomatic Disorders and Openness correlated negatively with Obsessive- Compulsive Disorders and Paranoia. After quarantine, the time an individual spent on the Internet and the PS correlated positively with Anxiety, Psychotic, Hostility, Depression, and Phobia. Females had higher mean scores than males on all PS indexes except Paranoia, and Egyptian had higher mean scores than the other Arabic cultures on Anxiety, Hostility, Depression, and Severity index. There were significant differences between the educational levels` groups in all PS indexes except; Psychosomatic Disorders. Finally, big five factors of personality had a contribution in predicting PS indexes and the time an individual spent on the internet was the only demographic variable that predicted some PS indexes. The results were discussed in the light of literatures.

ISSN: 1110-0745