نقش خودارائگی، خودتنظیمی و رگه‌های تاریک شخصیت، در پیش‌بینی وابستگی دانشجویان دانشگاه علوم پزشکی اردبیل به شبکه‌های اجتماعی مجازی

محورهای موضوعی : تربیتی

نقی دشتی ¹ ( دانشجوی دکتری، اردبیل، دانشگاه محقق اردبیلی، گروه روانشناسی )
عباس ابوالقاسمی ² ( استاد، دانشگاه گیلان، گروه روانشناسی )

تاریخ دریافت : 1394/10/12 تاریخ پذیرش : 1397/04/13 تاریخ انتشار : 1397/06/01

کلید واژه: رگه‌های تاریک شخصیت, خودارائه‌گری, دانشجویان دانشگاه علوم پزشکی, خودتنظیمی, اعتیاد به شبکه‌های اجتماعی,

چکیده مقاله :

هدف پژوهش،تعیین نقش خودارائگی، خودتنظیمی و رگه‌های تاریک شخصیت در پیش‌بینی وابستگی دانشجویانبه شبکه‌های اجتماعی مجازی است. این پژوهش، توصیفی از نوع همبستگی بود. جامعة آماریپژوهش شامل همة دانشجویان شاغل به تحصیل دانشگاه علوم پزشکی اردبیل در سال 1395 بهتعداد 3200 نفر بود که از بین آن‌ها تعداد 236 نفر به روش نمونه‌گیری خوشه‌ای چند مرحله‌ایانتخاب شدند. داده‌ها از طریق مقیاس خودتنظیمی (شواررز،1999)، پرسشنامه خودارائه‌گری(آکرمن،1979)، مقیاس رگه‌های تاریک شخصیت (جوناسونو وبستر،2010) و مقیاس محقق ساخته وابستگی بهشبکه‌های اجتماعی مجازی (دشتی،2016) جمع‌آوری شدند. برای تحلیل یافته‌ها از رگرسیونچند متغیری استفاده شده است. نتایج تحلیل رگرسیون چندگانه نشان داد که خودتنظیمی (p=0/03) و خودارائه‌گری (p=0/017) در پیش‌بینی وابستگی به شبکه‌های اجتماعیمجازی نقش معنی‌داری دارند. (p=0/05) و R2 = 0/045. این یافته‌ها بیان می‌کند که خودتنظیمی وخودارائه‌گری، قابلیت پیش‌بینی اعتیاد به شبکه‌های اجتماعی را دارا می‌باشند.

چکیده انگلیسی:

The aim of this study was to predict of the role of self- regulation, self-presentation and dark triad personality in students addiction to Social Networking Sites. The research method was descriptive correlational research, The study population consisted of all students of Ardabil University of Medical Sciences (N= 3200). 234 students were sampled Multi-stage sampling method. Data was gathered using Schwarzer’s Self-Regulation Scale (1999), Ackerman’s Self-Presentation Questionnaire(1979), Jonason& Webster Dark Triad Personality Scale(2010) and Questionnaire of Online Network Social Sites(α=/787).. Multiple regression analysis showed the significant role of self-regulation and self-presentation in predict of SNS addiction. Therefore Self-regulation and self-presentation can predict addiction to Social Networking Sites. Anticipating thid psychological characteristics and by psychological interventions based on "self" or "self-regulation" we can prevent student's dependence to Social Networking Sites.

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