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Analyzing financial stress and its impact on mental health among Bangladeshi undergraduate students using SPSS and SmartPLS

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorHossain, Muhammad Iqbal
dc.contributor.advisorAhmed, Md. Sabbir
dc.contributor.authorAlam, MD Asiful
dc.contributor.authorSayed, Hasnain Habib
dc.contributor.authorIslam, Md. Tariqul
dc.contributor.authorTamim, MD Yasin Arafat
dc.contributor.authorSakib, Tauhidur Rahman
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-02-05T04:53:48Z
dc.date.available2025-02-05T04:53:48Z
dc.date.copyright©2024
dc.date.issued2024-10
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 38-42).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.en_US
dc.description.abstractUndergraduate students are particularly susceptible to financial stress, which can severely undermine both mental health and academic achievement. Students were required to skillfully navigate a complex financial environment, which often included unstable personal finances, rapidly increasing tuition costs, and diminishing financial support from parents and family. This study investigated the association between financial struggles and mental health outcomes among undergraduate students, with the aim of examining how financial resources, job insecurity, and perceptions of financial instability influence stress levels among undergraduate students in Bangladesh and how these factors relate to overall well-being and academic achievement. Using a Likert scale, 448 responses from Undergraduate students to an anonymous online survey were examined in this quantitative study. The survey examined the connection between financial difficulties, job insecurity, and perceptions of financial instability with stress, well-being, and academic performance. It aimed to evaluate how these financial factors contributed to stress and their correlation with overall mental health and academic outcomes. This study utilizes SPSS and SmartPLS to analyze the results and test several hypothesis. Various statistical analysis techniques, including one-way ANOVA, two-way ANOVA, independent samples t-test were used in this research, and Cronbach’s Alpha, Average Variance Extracted (AVE), Fornell- Larcker Criterion and other relevant testing were employed to validate the hypothesis. This study concluded that there is an unmet need for psychological support for university students in Bangladesh. Appropriate support services should be directed to them to help and to overcome the financial challenges they face.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityMD Asiful Alam
dc.description.statementofresponsibilityHasnain Habib Sayed
dc.description.statementofresponsibilityMd. Tariqul Islam
dc.description.statementofresponsibilityMD Yasin Arafat Tamim
dc.description.statementofresponsibilityTauhidur Rahman Sakib
dc.format.extent53 pages
dc.identifier.otherID 20301038
dc.identifier.otherID 20301141
dc.identifier.otherID 20301044
dc.identifier.otherID 20301029
dc.identifier.otherID 20301045
dc.identifier.urihttp://hdl.handle.net/10361/25317
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectFinancial stressen_US
dc.subjectMental healthen_US
dc.subjectUndergraduate studentsen_US
dc.subjectSPSSen_US
dc.subjectSmartPLSen_US
dc.subjectHypotheses testingen_US
dc.subjectANOVAen_US
dc.subject.lcshFinance, Personal.
dc.subject.lcshStress (Psychology)--Analysis.
dc.titleAnalyzing financial stress and its impact on mental health among Bangladeshi undergraduate students using SPSS and SmartPLSen_US
dc.typeThesisen_US

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