Prediction of Students academic performance based on adjustment (academic, emotional and social) and personality traits

Document Type : Research Paper

Authors

Department of Psychology, Faculty of Humanities, University of Kashan, Kashan, Iran

Abstract

Abstract
Introduction Academic performance is an important indicator in assessing the success of the educational system,which promotion this considered to be the priorities of the educational system. Therefore, identifying the effective factors is important. Accordingly, present study was conducted with the aim of predicting academic performance of students based on adjustment (academic, emotional and educational adjustment) and personality traits.
Methods: The design of this research was descriptive-correlational. By the cluster sampling method, 360 undergraduate students of University of Kashan (5204 students) were selected in the academic year of 96-97. In order to collect data, Sinai and Singh's adjustment questionnaire and Hexaco Personality Inventory and to assess the academic performance, mean scores were used.
Results: The results of data analysis showed that there was a significant relationship between academic performance and adjustment(r= -0/16 , p< 0/05), academic adjustment(r= -0/28 , p< 0/01) and social adjustment(r= -0/10 , p< 0/05), agreeableness(r= 0/11 , p< 0/05) and emotionality(r= 0/10 , p< 0/05). The results of regression analysis showed that academic adjustment is the strongest predictive variables in the predicting academic performance. Also, the results of regression analysis showed that agreeableness and emotionality played a greater role in predicting academic performance.
Condusions: According to the findings of this study based on relationship between adjustment and personality traits with academic performance, it is necessary in educational interventions and counseling, the level of adjustment and personality traits should be considered by educational psychologists and counselors.    

Keywords

medical journal of mashhad university of medical sciences
Volume 62, December
November and December 2019
Pages 374-387

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