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Volume 4, Issue 1 (5-2026)                   2026, 4(1): 66-77 | Back to browse issues page

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Mahiani E, Hosseingholi F, Taghipour M, Zamiri A. Predicting students' academic achievement based on perceived social support, orientation, and goal. Quarterly Journal of New Approaches in Industrial Engineering and Management 2026; 4 (1) :66-77
URL: http://iem-science.ir/article-1-236-en.html
Industrial Engineering Department, Sohrevardi Non-Profit Higher Education Institute, Qazvin, Iran
Abstract:   (103 Views)
This study aimed to predict students' academic achievement based on perceived social support, orientation, and goal. The present study was applied in terms of its purpose and descriptive in terms of its method of implementation, a correlational survey. The statistical population of the present study was all second-year high school students in Qazvin in the academic year 1404-1405, totaling 2800 people, of whom 337 were selected using multi-stage cluster sampling. Data analysis in this study was performed using SPSS27 software and Pearson correlation coefficient and multiple linear regression tests in a simultaneous manner. The research findings showed that tendency performance with a significance level of 0.007 and a regression coefficient of 0.125, avoidance performance with a significance level of 0.001 and a regression coefficient of -0.16, and perceived social support with a significance level of 0.001 and a regression coefficient of 0.52 were effective in explaining the variance of the academic achievement variable.
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Type of Study: Research | Subject: Special
Received: 2026/04/10 | Accepted: 2026/05/31 | Published: 2026/06/20

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