Jafar Samari Safa, Mahla Dashti, Mozhgan Pourdel,
Volume 20, Issue 77 (5-2021)
Abstract
Aim: The aim of this study was to develop a model of academic buoyancy based on school connection, family emotional atmosphere, motivation, self-efficacy, and academic engagement of students. Methods: This research was of descriptive-correlational. The statistical population of the study included all first and second grade high school students in Isfahan in 2018-2019. From among them, a sample of 375 people were selected by multi-stage cluster random sampling. The tools for data collection included the following questionnaires: Dehghanizadeh and Hosseini Chari Academic Buoyancy Scales (2013), Panaghi et. al School Connection Questionnaire (2011), Razavieh Vesamani Family Emotional Atmosphere (2000), Patrick, Hicks and Ryan (1997) Academic Self-Efficacy Scale, Reeve, Agentic Engagement Scale (2013), and The Harter Academic Motivation Scale (1981). Results: The results showed that at 95% confidence level, the direct effect of school connection on academic buoyancy was confirmed with an impact factor of 0.207. Also, academic engagement has an effect on academic buoyancy, with an impact factor of 0.356, and self-efficacy has an impact on academic buoyancy with an impact factor of 0.202. Conclusion: Findings showed that the indirect effect of school relationship on academic buoyancy mediating academic engagement is confirmed, so that the intensity of the indirect effect is equal to 0.206, the indirect effect of family emotional atmosphere on academic buoyancy mediated academic engagement was also confirmed, and that the indirect effect is equal to 0.055. Furthermore, the indirect effect of academic motivation on academic buoyancy is mediated by self-efficacy, the intensity of the indirect effect is equal to 0.084 (p <0.05).
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.
