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财经院校大学生时间管理倾向与学业成绩的相关性分析
Analysis on the Correlation between Time Management Disposition and Academic Performance of Financial College Students

DOI: 10.12677/AE.2023.137665, PP. 4210-4219

Keywords: 大学生,时间管理,学业成绩,统计分析,回归分析
College Students
, Time Management, Academic Performance, Statistical Analysis, Regression Analysis

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Abstract:

目的:调查财经院校大学生时间管理倾向和学业成绩的状况,探索财经院校大学生时间管理倾向与学业成绩的相关性及影响因素。方法:2022年3月,使用自制的时间管理与学业成绩的调查表对646名地方财经院校本科生进行问卷调查。使用SPSS 23.0对调查表数据整理分析。采用统计数据特征分析、差异性分析中的独立样本t检验和F检验、Pearson相关性分析和多元逐步回归分析等方法进行分析。结果:性别、年级和学科统计数据特征分析均衡,性别、年级和学科与学业成绩呈显著正相关(P < 0.01)。时间分配对学业成绩多元逐步回归分析结果(R2 = 0.051,调整后R2 = 0.043,F检验6.852,P < 0.01),时间规划对学业成绩多元逐步回归分析结果(R2 = 0.113,调整后R2 = 0.104,F检验11.66,P < 0.01),不良习惯对学业成绩多元逐步回归分析结果(R2 = 0.048,调整后R2 = 0.045,F检验16.32,P < 0.01)。结论:地方财经院校大学生迫切希望学校开展与时间管理相关的指导。时间分配、时间规划和不良习惯与学业成绩存在相关性。加强地方财经院校大学生时间管理的培养可以改善学习的效果。
Objective: To investigate the time management disposition and academic performance of financial college students, and explore the correlation and influencing factors between time management disposition and academic performance of financial college students. Methods: In March 2022, 646 undergraduates from local finance and economics colleges were investigated with a self-designed questionnaire on time management and academic performance. SPSS 23.0 was used to collate and analyze the questionnaire data. Statistical data characteristic analysis, independent sample t-test and F-test of difference analysis, Pearson correlation analysis and multiple stepwise regression analysis were used for analysis. Results: The statistical data characteristics of gender, grade and discipline were balanced, and there was a significant positive correlation between gender, grade and discipline and academic performance (P < 0.01). Multiple stepwise regression analysis results of time allocation on academic performance (R2 = 0.051, adjusted R2 = 0.043, F test 6.852, P < 0.01), multiple stepwise regression analysis results of time planning on academic performance (R2 = 0.113, adjusted R2 = 0.104, F test 11.66, P < 0.01), multiple stepwise regression analysis results of bad habits on academic performance (R2 = 0.048, adjusted R2 = 0.045, F test 16.32, P < 0.01). Conclusion: Local finance and economics college students are eager to develop relevant guidance on time management. Time allocation, time planning and bad habits are correlated with academic performance. Strengthening the training of time management in local financial colleges can improve the learning effect.

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