پیش‌بینی اعتیاد به شبکه‌های اجتماعی در دانش‌آموزان نوجوان بر اساس افسردگی و شخصیت خودشیفته با در نظر گرفتن نقش میانجیگری خودافشایی
محورهای موضوعی : تربیتی
هایده حائری
1
(
دانشجوی دکترای تخصصی، دانشکده روان‌شناسی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران.
)
سیمین بشر دوست
2
(
استادیار دانشکده روان‌شناسی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران.
)
هائیده صابری
3
(
استادیار دانشکده روان‌شناسی، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران.
)
کلید واژه: دانش‌آموزان نوجوان, شخصیت خودشیفته, شبکه‌های اجتماعی, افسردگی, خودافشایی,
چکیده مقاله :
هدف این پژوهش پیش‌بینی اعتیاد به شبکه‌های اجتماعی در دانش‌آموزان نوجوانان بر اساس افسردگی و شخصیت خودشیفته با در نظر گرفتن نقش میانجی‌گر خودافشایی بود. روش پژوهش، توصیفی و از نمونه طرح‌های همبستگی و جامعه آماری شامل تمامی دانش‌آموزان نوجوان دختر و پسر دوره دوم دبیرستان شهر تهران در سال تحصیلی 98-1397 بود که از بین آن‌ها با استفاده از روش خوشه‌ای چندمرحله‌ای ۳۰۰ دانش‌آموز نوجوان انتخاب شدند. داده‌ها از طریق پرسشنامه‌های گرایش و میزان استفاده از شبکه‌های اجتماعی (Momeni and Taghilo, 2016)، افسردگی بک (Beck Depression Inventory, 1978)، شخصیت خودشیفته (Raskin & Terry, 1988) و خودافشایی مجازی (Chelon, 1978) جمع‌آوری و با روش تحلیل رگرسیون چندمتغیره در نرم‌افزار آماری SPSS20 تحلیل شدند. یافته‌های پژوهش نشان داد که تأثیر معناداری بین افسردگی، شخصیت خودشیفته و خودافشایی با اعتیاد به شبکه‌های اجتماعی وجود دارد (01/0=p). همچنین مدل پیشنهادی از برازش مطلوبی برخوردار بوده و نتایج از نقش میانجیگری خودافشاگری در تأثیر شخصیت خودشیفته و خودافشایی و اعتیاد به شبکه‌های اجتماعی حمایت می‌کند.
The aim of this study was to predict social media addiction in adolescent student based on depression and narcissistic personality by considering the mediating role of self-disclosure. The study was descriptive and correlational design and from the sample of correlation schemes and the statistical population included all male and female high school students in Tehran, from which 300 students were selected using multi-stage cluster method. Data were obtained through questionnaires of Social Network Orientation and Use (Momeni and Taghilo, 2016), Beck Depression Inventory (1978), Narcissistic Personality (Raskin & Terry, 1988) and Virtual Self-Disclosure (Chelon, 1978). Data were analyzed by multivariate regression analysis in SPSS-20 statistical software. The findings showed that there is a significant effect between depression, narcissistic personality and self-disclosure with social media addiction (p=0/01). Also, the proposed model had a good fit (c2/df=3/09, CFI=0/971, AGFI=0/926, GFI=0/973, RMSEA=0/083) and the results support the mediating role of self-disclosure in relation to narcissistic personality and self-disclosure and social media addiction.
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