Showing 2 results for Social Media
Dr. Hassan Boland,
Volume 19, Issue 75 (12-2020)
Abstract
Aim: The aim of this study was to develop a valid and reliable tool for measuring the level of people's participation in social network sites (SNS). Method: This research is in the R&D field in terms of purpose and is descriptive-survey type in terms of data collection method (research design). 979 students were selected out of all students studying in the University of Guilan in 2017-2018 using multi-stage random cluster sampling. A set of questions, after confirming their face validity, was given to the participants and all collected data was analyzed through heuristic method (based on data from 400 precipitants) and then by confirmatory method (using data from 579 participants) to determine the construct validity of the developing test. Results: A scale containing 34 items was developed and the items were distributed among the three factors of "emotion / cognition exchange" (20 items), "engagement intensity" (7 items) and "culture exchange" (7 items). Taken together, these three factors accounted for 46.73% of the total variance of the questionnaire. Based on the results of the reliability analysis (internal consistency), the coefficients obtained for the factors were between 0.81 and 0.90, among which emotion / cognition exchange had the highest coefficient of internal consistency index, followed by cultural exchange and engagement intensity, respectively.; The overall internal consistency of the questionnaire was 0.92. Conclusion: The Social Network Sites Engagement Scale (SNSES) has acceptable validity and reliability for measuring the level of participation in social network sites.
Elham Khodarahmi, Abbas Amanelahi, Zabihollah Abaspour,
Volume 22, Issue 86 (5-2023)
Abstract
Aim: The present study aimed to predict social media addiction among female adolescents based on family resilience and emotional atmosphere of the family. Methods: The method of the present study was correlational (discriminant analysis). The research population included high school female students (12 to 18 years old) in Ahvaz city, from which 412 people were selected, 206 people in the group were identified to have addiction to social media and 206 people in the group did not have addiction to social media. The selection of the sample group was done through available sampling method and participants were recuited through the internet. Data collection tools included Bergen Social Media Addiction Scale (BSMAS), Sixby Family Resilience Scale (FRAS) and Hillburn Family Emotional atmosphere Questionnaire (EAF). The discriminate analysis method was used to analyze the data. Findings: The results showed that the linear combination of the predictor variables of the research was able to predict the group membership of teenagers with social media addiction and those without social media addiction. Also, step-by-step analysis determined that both variables are significant predictors for addiction to social media. Conclusion: Considering the role of family resilience and family emotional atmosphere in social media addiction, improving family resilience and family emotional atmosphere can be effective in preventing and treating social media addiction.
