高低網路沉迷者在自我認同、情緖調整及人際互動上之差異

本研究針對使用網際網路之大學生及研究生進行調查研究，以探討不同性別、年級、使用時數、接觸年資者在網路沉迷分數上之差異。2.高低網路沈迷者在自我認同、情緖調整及人際互動上之差異。3.探討那些變項可以有效的預測網路沈迷之分數。經網路施測21天後，得有效樣本1277人。經統計分析後其結果為1.不同性別、年級、使用時數、接觸年資者在網路沉迷分數上有差異。2.高沈迷組在情緒調整方面，比低沈迷組在生活中較採壓抑逃避，而且較多利用網路來抒發情緖；在自我認同方面，比低沈迷組較會變換自我且較自我懷疑；在人際互動方面，比低沈迷組較不習慣面對人、與人之關係較疏離虛應、迴避衝突及喜歡說服別人。3.不同性別之高低網路沈迷者在情緖調整方面，男生比女生更會採用運動及激勵自己的方式。在人際互動上，男生比女生更會採協調解決及說服對方的方式4.網路抒發、變換自我、不習慣面對人及一周上網時數可以有效預測網路沈迷之程度。

This study was performed by conducting an investigation on 1277 undergraduate and graduate students who are using Internet, through 21 days of online surveys and focused on the following three subjects: 1. To explore if there are any difference between gender, grades, using internet per week hours and time of using in the score of the Internet addiction. 2. To understand the differences of these students in presenting the ego identity, emotional regulation, and interpersonal relationship of heavy-and light-indulgence Internet-users. 3. To understand which variables could be effectively predict the score of the Internet addiction. The outcomes are briefly described as follows: 1. There are significant difference between gender, grades, using Internet per week hours and time of using in the score of the Internet addiction. 2. The heavy Internet-users are more inhibited or elusive in expressing their emotion or more frequently pop their emotion directly via Internet, as compared to the light-counterparts. In ego identity the heavy-ones are more self-suspect, and exchange of identity; in interpersonal-relationship they are more alien to the people, more avoidance to the conflict and like to persuade people. 3. The males more frequently use exercise or encouragement to regulate their emotions than the females. And the males more frequently use negotiation and persuasion to resolve interpersonal-relationship problems than the females. 4. The carefree of emotional-expression through Internet, exchange of identity, not accustom to facing people, and the hours spent in the Internet per week are variables to effectively predict the score of the Internet addiction.