Bengali Translation and Validation of Academic Resilience Scale in Bangladeshi School-going Students

Author:

Ahmed MD. Faisal1

Affiliation:

1. Bangladesh Institute of Innovative Health Research

Abstract

Abstract

Introduction: The study aimed to translate and validate the Academic Resilience Scale (ARS) into Bengali to assess its applicability among Bangladeshi school-going students. The ARS, originally developed by Martin and Marsh, measures students' ability to cope with academic challenges. Given the lack of a validated Bengali version, this study sought to fill this gap and ensure the scale's reliability and validity in a new cultural context. Materials and Methods The research employed a cross-sectional design involving 234 students (111 males, 123 females) aged 12–18 years from two schools in Dhaka, Bangladesh. The ARS was translated through a rigorous process involving two forward translations, two back translations, and a comparison of the original and translated versions. Data were collected using both the original and translated ARS, with a one-week interval between administrations. Descriptive statistics, Pearson correlations, Cronbach’s alpha, and independent sample t-tests were used for analysis, employing SPSS 29.0. Results Descriptive statistics indicated similar mean scores for the original ARS (M = 23.78, SD = 7.456) and the translated ARS (M = 23.77, SD = 7.516), reflecting comparable levels of academic resilience. Pearson correlations between items on the original and translated scales were high (r = .909 to .941, p < .01), and Cronbach’s alpha was 0.747 for the original and 0.754 for the translated scale, demonstrating acceptable reliability. No significant gender differences were found in resilience scores for either version. Conclusion The Bengali-translated ARS is a reliable and valid tool for measuring academic resilience among Bangladeshi students. This study provides a crucial resource for future research and interventions aimed at enhancing academic resilience in this demographic. Future research should address the study's limitations and explore resilience factors in broader contexts.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3