Volume 18, Issue 22 (12-2023)
JNIP 2023, 18(22): 0-0 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Farajian M, Hosseinzadeh H. Predicting Students' Creativity based on their Self-Confidence and Personality Traits (Case Study: Male Students of the First Secondary School in Parsabad City). JNIP 2023; 18 (22)
URL: http://jnip.ir/article-1-998-en.html
URL: http://jnip.ir/article-1-998-en.html
Assistant Professor, Department of Sociology, Pars Abad Moghan Branch, Islamic Azad University, Pars Abad Moghan, Iran
Abstract: (773 Views)
The purpose of this study is to investigate the ability to predict students' creativity based on their self-confidence and personality traits. The research method is descriptive-correlation. The statistical population includes the boys' first secondary school students of Parsabad in the academic year 1402-1401, whose number is 4256. Based on Morgan's sampling table, 352 people were selected as a statistical sample using a multi-stage cluster method. The tools used to collect data included Torrance's (1979) creativity questionnaires, Eysenck's (1976) self-confidence questionnaires, Bass et al.'s (1975) personality traits. Finally, Pearson's correlation test and multivariate regression were used to check the hypotheses. The results showed that for each unit increase in self-confidence scores, students' creativity increases by 0.322 units and also for each unit increase in personality traits scores, students' creativity increases by 0.276 units. Therefore, in education counseling centers, in order to improve students' creativity, necessary training can be provided to overcome low self-confidence and improve personality traits
Type of Study: Research |
Subject:
Special
Received: 2023/09/19 | Revised: 2023/09/25 | Accepted: 2023/12/1 | Published: 2023/12/1
Received: 2023/09/19 | Revised: 2023/09/25 | Accepted: 2023/12/1 | Published: 2023/12/1
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
