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year 8, Issue 9 (autumn 2019 2019)
Rooyesh 2019, 8(9): 111-118 |
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mirzaei gharehlar Z, Hatami H. (2019). The prediction of Academic Resilience based on Sense of Belonging to School and Academic Engagement in female students. Rooyesh. 8(9), 111-118.
URL: http://frooyesh.ir/article-1-1270-en.html
URL: http://frooyesh.ir/article-1-1270-en.html
1- M. A. Islamic Azad University, Tehran North Branch , elhammirzaei56@yahoo.com
2- Associate professor,Islamic Azad University, Tehran North Branch, Tehran, Iran.
2- Associate professor,Islamic Azad University, Tehran North Branch, Tehran, Iran.
Abstract: (2976 Views)
The academic resilience is one of the components that relates to academic achievement. The purpose of this study was to prediction of academic resilience based on sense of belonging to school and academic engagement in female students. The descriptive- correlation method was used. The statistical population consists of all the female students’ high school of 5th district Tehran city in year academic 2017-2018 to 261 female students. According to cluster random sampling method, 200 female students were selected as samples and they were asked to fill in the questionnaires academic resilience of Samuels (2004), sense of belonging to school scale of Brew, Beatty & Watt (2004) and academic engagement scale of Fredricks, Blumenfeld & Paris (2004). The data were analyzed by tests of Pearson correlation and multivariate regression simultaneously. Findings showed that there was a positive and significant correlation between academic resilience with sense of belonging to school and academic engagement in female students. Regression analyses also revealed that 65/2 of variance of academic resilience was explained by sense of belonging to school and academic engagement in female students. It is recommended that training sense of belonging to school and academic engagement can increase academic resilience of female students.
Type of Article: Research |
Subject:
Educational Psychology
Received: 2018/07/19 | Accepted: 2018/08/6 | ePublished: 2019/12/1
Received: 2018/07/19 | Accepted: 2018/08/6 | ePublished: 2019/12/1
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