Developing an Ethical Scale to Measure Instagram Use Motivation Among College Students: Investigating Demographic Factors
سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 269
فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJMAE-11-12_001
تاریخ نمایه سازی: 21 آذر 1403
چکیده مقاله:
This study aimed to measure Instagram use motivations and explore potential differences based on gender, age, marital status, and academic background among Iranian college students. A scale was developed with ۶ dimensions and ۲۷ items, and its reliability and validity were confirmed. Statistical methods including t-tests, one-way analysis, and Friedman test were used to analyze the data. Results showed high reliability and significant differences in motivation levels and dimensions across demographic groups. Females exhibited higher motivation levels than males, and individuals above ۳۰ years showed higher motivation. Married individuals demonstrated higher motivation levels than singles. The most prevalent motivation for using Instagram was passing time, while self-expression was the least common motivation. The scale was deemed suitable for measuring motivation levels for using Instagram among Iranian college students. The study's findings highlighted distinct patterns of motivation based on gender, age, marital status, and academic background, providing valuable insights into Instagram use. By identifying and analyzing significant motivational differences across diverse demographic factors, this study not only enriches the understanding of social media usage in a unique cultural setting but also provides a foundation for future research on social media behavior in similar contexts.
کلیدواژه ها:
نویسندگان
Fereshteh Lotfi
Department of Information Technology, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, Iran
Farid Ahmadi
Department of Information Technology, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, Iran
Mahsa Esmailirad
Department of Information Technology, Faculty of Industrial Technologies, Urmia University of Technology, Urmia, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :