The aim of this study was to determine the psychometric indicators of the university academic resilience questionnaire in a sample of Iranian students. In this study, 283 undergraduate students were selected by cluster random sampling and completed the academic resil More
The aim of this study was to determine the psychometric indicators of the university academic resilience questionnaire in a sample of Iranian students. In this study, 283 undergraduate students were selected by cluster random sampling and completed the academic resilience and academic self-efficacy questionnaires. Confirmatory factor analysis was used to determine the structure of the questionnaire. The results of confirmatory factor analysis revealed that the modified model has a favorable fit compared to the original model. In such a way that the fit indices are in the appropriate range. In addition, Cronbach's alpha were used to evaluate the reliability of the instrument using the internal consistency method. Accordingly, internal consistency in the whole sample for each of subscales indicates the optimal reliability of the tool. In addition, the convergence validity was confirmed by the academic self-efficacy questionnaire. Finally, the research findings revealed that the factor structure of the university academic resilience questionnaire has a good fit and can be used as a valid tool in measuring the dimensions of students' academic resilience.
Keywords: Academic Resilience Questionnaire, Psychometric, Confirmatory Factor Analysis.
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The current research was correlational research and the aim of this study was to determine the relationship between social-emotional competence and academic resilience, considering the mediating role of academic self-efficacy and hope in a sample of Iranian students. In More
The current research was correlational research and the aim of this study was to determine the relationship between social-emotional competence and academic resilience, considering the mediating role of academic self-efficacy and hope in a sample of Iranian students. In this study, 283 humanities science students were selected by cluster random sampling. The variables were measured using the questionnaires of social-emotional competence (Zoe and E, 2012), Cassidy academic resilience (2016), academic self-efficacy (Jamali et al., 2013) and Schneider hope (2000). Statistical analysis of data was performed using AMOS software and path analysis method. The results of path analysis showed that the theoretical model has a good fit with the data. In addition, there is a significant positive relationship between social-emotional competence with resilience (r = 0.36), academic self-efficacy (r = 0.53) and hope (r = 0.47) with academic resilience. The mediating role of academic self-efficacy and hope in the relationship between these two variables was also confirmed. The perspective of this study is to create a basis for experimental research in line with research variables to examine the effectiveness of interventions based on social-emotional competence on academic resilience by considering the moderating variables.
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