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  • 學位論文

智慧型手機沉迷與自我概念、人際關係之相關研究

The Study of the Relationships Among Smartphone Addiction ,Self-Concept and Interpersonal Relationship

指導教授 : 許吉越
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摘要


本研究探討南投縣高中職學生智慧型手機沉迷與自我概念、人際關係的現況,並探究其差異情形、相關性及預測力。以南投縣高中職學生為研究對象,採用立意抽樣及問卷調查法蒐集資料,共發放問卷480份,回收437份,有效問卷回收率達91.0%。所得資料經描述性統計、獨立樣本t檢定、單因子變異數分析、典型相關與多元逐步迴歸進行分析,研究結果如下: 一、不同背景變項學生之智慧型手機沉迷差異情形:不同年級、不同家庭型態、使用動機不同、使用時間 多寡不同三者達顯著差異;不同性別、科別兩者未達顯著差異。 二、不同背景變項學生之自我概念差異情形:不同科別、年級、不同家庭型態、使用動機不同等四項達顯 著差異;不同性別、使用時間多寡不同未達顯著差異。 三、不同背景變項學生之人際關係差異情形:不同科別、不同家庭型態兩者達顯著差異;不同性別、年 級、使用動機不同、使用時間多寡不同均未達顯著差異。 四、智慧型手機沉迷與自我概念之間有典型負向相關存在。 五、智慧型手機沉迷可以預測人際關係。

並列摘要


This study aims to investigate the relationship of smartphone addiction, self-concept and interpersonal relationship and to examine their differences, correlation and predictability. 500 questionnaires were distributed to vocational high school students in Nantou County based on judgmental sampling, and 437 were recollected. The effective questionnaires recollected reached up to 91%. The data from the questionnaires were analyzed by descriptive statistics, independent t-test, one-way ANOVA, canonical correlation, typical correlation, and multiple regression analysis. The results were as follow: 1.Students with different grades, family types and motives for using smartphone show significant difference in smartphone addiction, whereas students with different genders and majors of study do not show significant difference. 2.Students with different majors of study, grades, family types, and motives for using smartphone show significant difference in self-concept, whereas students with different genders, grades and time of using smartphone do not show significant difference. 3.Students with different majors of study and family types show significant difference in interpersonal relationship, whereas students with different genders, grades, motives for using smartphone, and time of using smartpone do not show significant difference. 4.There is typical negative correlation between smartphone addiction with self-concept. 5.Smartpone addiction is able to predict interpersonal relationship.

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