科技部專題研究計畫主持人
MOST 106-2410-H-153-004-SSS
大學生自我控制力、自我控制策略與動機干擾之關係
Relationships between trait self-control, self-control strategies, and motivational interference among college students
科技部
Ministry of Science and Technology
國立屏東大學教育心理與輔導學系
Department of Educational Psychology and Counseling, National Pingtung University
陳品華
Pin-Hwa Chen
國立屏東大學教育心理與輔導學系
Department of Educational Psychology and Counseling, National Pingtung University
陳品華
0988158152
phchen@mail.nptu.edu.tw
計畫執行期間起:2017-08-01
計畫執行期間迄:2019-01-31
2018-11-19
2019-12-20
就讀於我國大學院校的大學部學生
1
096
07
自我控制力;自我控制策略;動機干擾;學業-數位休閒衝突
trait self-control;self-control strategies;motivational interference;school-digital leisure conflicts
本研究目的在了解大學生在學業-數位休閒衝突中作出學業決定後,自我控制力、自我控制策略與動機干擾的關係。本研究採用問卷調查法,調查樣本為來自國內8所大學的1122位大學部學生,研究工具包括學業自我控制力量表、自我控制策略與動機干擾量表,所得資料以描述性統計、單因子重覆量數變異數分析、階層迴歸分析進行統計分析。結果發現,大學生自我控制策略的使用情形因學習情境而異。此外,不論在何種學習情境下,自我控制力與自我控制策略所形成的迴歸模式對動機干擾的預測皆達顯著,在控制自我控制力的影響下,注意調度策略與認知改變策略可負向預測動機干擾,反應調整策略可正向預測動機干擾,但情境改變策略無法預測動機干擾。
This study aimed to investigate the relationships between college students’ trait self-control, self-control strategies, and motivational interference after making a school decision in school-digital leisure conflicts. The survey participants were 1122 undergraduate students from 8 universities. They responded to a questionnaire which comprised the Academic Self-Control Scale and the Self-Control Strategy and Motivational Interference Scale. Statistical methods included descriptive statistics, one-way repeated-measures analysis of variance, and hierarchical regression analysis. The results showed that the use of self-control strategies varied with learning situations. In addition, the regression model which comprised trait self-control and self-control strategies could significantly predict motivational interference. After controlling the effect of trait self-control, attention deployment strategy and cognitive change strategy could negatively predict and response modulation strategy could negatively predict motivational interference while situation modification strategy could not predict it.
否,無直接識別資料
除檢查有無可識別個人身份資料外,另檢查個案編號是否重複、變項及選項數值說明是否與問卷一致或未被定義,發現前述狀況時,將於確認後協助修改。
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