尼日利亚iile - ife, Obafemi Awolowo大学大学生智能手机成瘾的心理人口学特征预测因子

IF 0.6 Q4 PSYCHOLOGY, EDUCATIONAL Electronic Journal of Research in Educational Psychology Pub Date : 2021-05-30 DOI:10.31580/JRP.V3I1.1976
W. Adeniyi
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引用次数: 1

摘要

该研究的主旨是调查尼日利亚Ile-Ife的Obafemi Awolowo大学本科生中智能手机成瘾的使用和流行情况,并研究心理人口统计学特征对学生智能手机成瘾的影响。本研究采用调查研究设计。使用多阶段抽样技术从该大学选择了600名本科生和6个学院的样本。采用改编问卷“大学生智能手机成瘾调查问卷”(QSAU)对参与者进行数据收集。仪器经试验后的信度检验结果为0.71%,显著性水平为0.05。采用百分比法、相对显著性指数法(RSI)、排序法、t检验、单因素方差分析和多元回归法对收集到的数据进行分析。结果显示,124名大学生(20.7%)智能手机成瘾的患病率较高。教育信息(0.801)、图表信息(0.787)和体育娱乐信息(0.778)是大学生从智能手机获取最多的信息。同样,人格特征的影响显著(F(5,546) = 51.870, p < 0.05);性别(t检验= 0)。-2.612;df = 598, p > 0.05)年龄(F(2596) = 9.533;p < 0.05),学生水平(F(4,594);= 57.209, p < 0.05)和智能手机成瘾。最后,结果表明,所有变量的贡献率为65.3%。这表明心理人口学变量对学生智能手机成瘾有很大影响(R2 = 0.653;F = 57.209, p < 0.05)。该研究得出结论,心理人口学变量使大学生容易对智能手机上瘾。
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Psycho-demographic Characteristics as Predictors of Smartphone Addiction among Undergraduates of Obafemi Awolowo University, Ile-Ife, Nigeria
The thrust of the study was to investigate the use and prevalent of smartphone addiction among undergraduates of Obafemi Awolowo University, Ile-Ife, Nigeria as well as examining the influence of psycho-demographic characteristics on students’ smartphone addiction. The survey research design was employed for the study. A sample of 600 undergraduates and six faculties were selected from the university using a multistage sampling technique. An adapted questionnaire titled “Questionnaire on Smartphone Addiction among Undergraduates” (QSAU) was used to collect the data from the participants. The reliability test result of the instrument after trial-tested was 0.71% at a 0.05 level of significance. Percentages, Relative Significance Index (RSI), ranking order, t-test, One-Way Analysis of Variance, and multiple regressions were employed to analyse the data collected. The results showed a high prevalence rate of smartphone addiction among 124(20.7%) undergraduates. Educative information (0.801), charting (0.787) and sports and recreation (0.778) were the frequently information undergraduates sourced from their smartphones. Again, the results showed a significant influence of personality characteristics (F(5,546) = 51.870, p < 0.05);  sex (the t-test = 0. -2.612; df = 598, p > 0.05) age (F(2,596) = 9.533; p < 0.05), students’ level (F(4,594); = 57.209, p < 0.05) and smartphone addiction among the students. Finally, the result showed that all variables contributed 65.3%. This indicated psycho-demographic variables greatly contributed to students’ smartphone addiction (R2 = 0.653; F = 57.209, p < 0.05). The study concluded psycho-demographic variables predisposed undergraduates to smartphone addiction.
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