مدل یابی روابط ساختاری اعتیاد به اینترنت براساس خودتنظیمی تحصیلی با نقش واسطه ای تاب آوری تحصیلی
محورهای موضوعی : روانشناسی
حسن تیمورزاده
1
,
محمد محمدی پور
2
,
ابوالفضل بخشی پور
3
1 - دانشجوی دکتری روانشناسی تربیتی، واحد بجنورد، دانشگاه آزاد اسلامی، بجنور، ایران
2 - دانشیار گروه روانشناسی، واحد قوچان، دانشگاه آزاد اسلامی، قوچان، ایران
3 - استادیار گروه روانشناسی، واحد بجنورد، دانشگاه آزاد اسلامی، بجنورد، ایران
کلید واژه: اعتیاد به اینترنت, خودتنظیمی تحصیلی, تاب آوری تحصیلی,
چکیده مقاله :
پژوهش حاضر با هدف شناسایی اثر پیش‌بینی کنندگی خودتنظیمی‌تحصیلی بر اعتیاد به اینترنت جهت کمک به طراحی مداخلات موثر پیش‌گیری کننده از آن، از طریق میانجی‌گری تاب‌آوری تحصیلی انجام شد. روش پژوهش توصیفی- همبستگی مبتنی بر روش مدل‌یابی معادلات ساختاری بود. تعداد 300 نفر از دانشجویان دانشجویان دانشگاه فرهنگیان خراسان شمالی که در سال تحصیلی 99-1398 مشغول به تحصیل بودند، به صورت نمونه گیری تصادفی منظم انتخاب شدند و به پرسشنامه های اعتیاد اینترنت یانگ (1998)، خود تنظیمی تحصیلی ماگنو (2010) و تاب‌آوری تحصیلی ساموئلز (2004) پاسخ دادند. روایی صوری و محتوایی پرسش نامه ها مورد تایید اساتید قرار گرفت و پایایی به کمک روش ضریب آلفای کرونباخ به ترتیب مقادیر ( 91/0، 91/0 و 79/0 ) به دست آمد. برای تجزیه و تحلیل داده ها از روش‌های آماری توصیفی، تحلیل رگرسیون و معادلات ساختاری استفاده شد. ارزیابی مدل فرضی پژوهش با استفاده از شاخص های برازندگی (GFI=.92, PCFI=.74, CFI=.91, RMSEA=.075) نشان داد که مدل از برازش خوبی برخوردار است و تاب‌آوری تحصیلی در رابطه بین خودتنظیمی تحصیلی و اعتیاد به اینترنت نقش میانجی دارد. هم‌چنین خودتنظیمی تحصیلی و تاب‌آوری تحصیلی با اعتیاد به اینترنت به ترتیب با ضرایب (38/0- و 25/0 -) رابطه منفی و معنادار دارد.
This survey was carried out with the purpose of identifying the predictive role of academic self - regulation on internet addiction in order to help to design effective preventive interventions with the mediating role of academic resilience. This survey uses descriptive-analytical method on the basis of modeling structural equations. 300 students of Farhangian University in North Khurasan who were studying in the academic year 2019-2020 were selected by random sampling, and replied to the Young (1998) internet addiction questionnaire, Magno (2010) self-design questionnaire, and Samuels academic resilience (2004). Face validity and content validity of the questionnaires were approved by professors and their reliability was achieved by Cronbach alpha as respectively (0.91, 0.91 & 0.79). Descriptive statistical method, regression analysis, and structural equations were used for data analysis. Evaluation of the hypothetical model of research by the use of fit indexes (CFI=.91, PCFI=.74, GFI=.92, and RMSEA=.075) showed that the survey has good fit index, and that academic resilience has a mediating role in the relationship between academic self- regulation and internet addiction. Also, academic self- regulation and academic resilience have negative significant relationship with internet addiction with respective ratios of (-0.25 and -0.38).
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