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The relationship between life stress and smartphone addiction on taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy

机译:台湾大学生生活压力与智能手机成瘾的关系:学习自我效能与社会自我效能的中介模型

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Although numerous studies have examined factors that influence smartphone addiction, few have analyzed the potential protective factors inherent in individuals that may benefit future intervention programs for smartphone addiction. Thus, this study established a model for analyzing the mediating effect that learning self-efficacy and social self-efficacy have on the relationship between university students' perceived life stress and smartphone addiction. Sampling 387 Taiwanese university students, we distributed scales surveying for university students' life stress, learning self-efficacy, social self-efficacy, and smartphone addiction. Data retrieved from the scales were analyzed using structural equation modeling (SEM). The SEM path analysis yielded the following results: (1) Academic stress had negative predictive power for social and learning self-efficacies, and interpersonal relationship stress had negative predictive power for social self-efficacy. (2) Social self-efficacy had positive predictive power for smartphone addiction. (3) Family and emotional stresses had positive predictive power for smartphone addiction. Generally, the results of this study could be used to significantly predict the life stresses that influenced university students' smartphone addiction. In addition, social self-efficacy can be considered a cognitive mechanism that mediates the relationships between academic stress and smartphone addiction and between interpersonal relationship stress and smartphone addiction. Finally, we discussed the research results and offered relevant suggestions for schools, university students, and future studies.
机译:尽管许多研究已经研究了影响智能手机成瘾的因素,但很少有分析人员固有的潜在保护因素,这些因素可能会有益于未来针对智能手机成瘾的干预计划。因此,本研究建立了一个模型,用于分析学习自我效能感和社会自我效能感对大学生感知生活压力与智能手机成瘾之间关系的中介作用。我们对387名台湾大学生进行了抽样调查,分发了针对大学生生活压力,学习自我效能,社交自我效能和智能手机成瘾的量表。使用结构方程模型(SEM)对从量表中检索的数据进行分析。 SEM路径分析得出以下结果:(1)学术压力对社交和学习自我效能具有负面预测能力,人际关系压力对社交自我效能具有负面预测能力。 (2)社会自我效能感对智能手机成瘾具有积极的预测作用。 (3)家庭和情绪压力对智能手机成瘾具有积极的预测能力。通常,这项研究的结果可用于显着预测影响大学生智能手机成瘾的生活压力。此外,社交自我效能可以被认为是一种介导学术压力与智能手机成瘾之间以及人际关系压力与智能手机成瘾之间的关系的认知机制。最后,我们讨论了研究结果,并为学校,大学生和未来研究提供了相关建议。

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