Predicting Academic Retention of Students at Qom University of Medical Sciences based on Happiness and Self-efficacy

Document Type : Original Article

Authors

1 Department of Educational Planning, Faculty of Humanities, Qom Branch, Islamic Azad University, Qom, Iran

2 Department of Philosophy of Education, Faculty of Educational Sciences, Farhangian University, Qom,

10.22091/jrim.2025.11603.1127

Abstract

The aim of the present study was to predict academic retention of students at Qom University of Medical Sciences based on happiness and self-efficacy. The study was conducted using a descriptive-correlational method. The statistical population of this study included all students at Qom University of Medical Sciences, 2560 people (1397 girls, 1163 boys) in the academic year of 2023-2024, from which 347 students were sampled based on the Krejci and Morgan table and using a relative stratified method. To collect data, the Oxford Argyle et al. Happiness Questionnaire, the Sherer General Self-Efficacy Questionnaire, and the Martin and Marsh Academic Retention Questionnaire were used. The results of Cronbach's alpha coefficient for the happiness questionnaires (α = 0.94), self-efficacy (α = 0.92), and academic retention (α = 0.80) were obtained, which indicate appropriate reliability of the instruments. Analysis of the findings showed that there is a positive and significant relationship between happiness and academic retention (r = 0.50) and self-efficacy and academic retention (r = 0.46) (sig < 0.01). The results of multiple regression showed that happiness and self-efficacy can predict academic retention (p < 0.01, F = (344, 2)61.69). The square of the multiple correlation coefficient is R2 = 0.26, which indicates that the predictor variables can explain 26 percent of the changes in the academic retention variable. According to the results, it can be concluded that in order to increase academic retention, students' happiness and self-efficacy should be planned

Keywords

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Research In Instructional Methods
Volume 3, Issue 3 - Serial Number 11
October 2025
Pages 91-104

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History

  • Receive Date: 17 November 2024
  • Revise Date: 27 January 2025
  • Accept Date: 25 February 2025

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