Predicting academic self-disability based on social support and mental health in students

Subject Areas : Journal of Educational Psychology

Fatemeh Ahmadi Sarvandi ¹ , Masoud Amoopour ²

1 - M.A, Department of Psychology, Rasht branch, Islamic Azad University, Rasht, Iran
2 - Assistant Prof, Department of Psychology, Rasht Branch, Islamic Azad University, Rasht, Iran

Received: 2023-05-04 Accepted : 2023-06-19 Published : 2023-05-22

Keywords: social support, mental health, Students, Academic self- handicapping,

Abstract :

This research was conducted with the aim of predicting academic self-disability based on social support and mental health in students. The type of descriptive research and its method was also correlational. The statistical population included all 460 female students of the second secondary school in Sangar, out of which 210 were selected by simple random sampling. To collect the required data, the social support questionnaires of Sherborn and Stewart (1991), mental health of Goldberg and Hiller (1979) and academic self-handicapping of Jones and Rudwalt (1982) were used. The data were analyzed using the inferential test of Pearson's correlation coefficient and regression and SPSS24 software. The results showed that there is a significant negative correlation between social support and academic self-handicapping of students (P<0.05). There is a significant negative correlation between mental health and academic self-handicapping of students (P<0.05). According to the findings of the research, it can be concluded that social support and mental health are suitable predictors for reducing the academic self-handicapping of students.