Predicting Academic Buoyancy based on Family Emotional Climate, Academic Engagement, and Academic Self-Efficacy

Document Type : Research Paper

Authors

1 PhD Student in Educational Psychology, Department of Psychology, Qom Branch, Islamic Azad University, Qom, Iran.

2 Professor, Department of Psychology, Bu Ali Sina University, Hamadan, Iran.

3 Assistant Professor, Department of Psychology, Qom Branch, Islamic Azad University, Qom, Iran.

4 Associate Professor, Department of Psychology, Bu Ali Sina University, Hamadan, Iran.

Abstract

Abstract
Introduction: Attention to the psychological, emotional and educational components of students is becoming more and more common. according to this the purpose of this study was to predicting academic buoyancy based on family emotional climate, academic engagement, and academic self-efficacy.
Materials and Methods: The research method was descriptive correlational. The statistical population consisted of all high school female students in Saveh city in the academic year of 2018-2019 that 347 students were selected through cluster sampling. The tools used included the Rio and Tsing' academic engagement (2011), Morgan & Jinks academic self-efficacy (1999), Hillburn's family emotional climate (1964), Dehghanizadeh and Husseinchari academic buoyancy questionnaires (2012). Pearson correlation coefficient and multiple regression were used for data analysis Using SPSS 23 software.
Results: Pearson correlation results showed that there is a positive and significant relationship between family emotional climate, academic engagement, and academic self-efficacy with academic buoyancy (p <0.01). The results of multiple regression analysis also showed that family emotional climate, academic engagement and academic self-efficacy were able to predict 12% of the variance of academic buoyancy. Academic self-efficacy with beta coefficient (β = 0.15), academic engagement with beta coefficient (β = 0.19) and family emotional climate with beta coefficient (β = 0.12) had significant role in predicting of academic buoyancy.
Conclusion: The results support the ability of academic involvement, academic self-efficacy and family emotional climate in predicting students' academic buoyancy.

Keywords


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