The Relationships among Motivation, Leisure Benefits, and Internet Addiction for Internet Go Participants

• Main Authors: Chun-nan Tsao, 曹俊萳
• Other Authors: Yi-Ling Lee
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/45089289502556165421

碩士 === 朝陽科技大學 === 休閒事業管理系碩士班 === 98 === Go is an ancient game. As the Internet developed, it gives Go a new feature. This study focuses on the relationships among motivation, leisure benefits, and Internet addiction for Internet Go participants. In this study, convenience sampling was conducted with the online questionnaire to collect the data in Youthwant Questionnaire network (http://survey.youthwant.com.tw/). The main contents of the questionnaire include four parts, "Motivation", "Leisure benefits", "Internet Go addiction", and "Personal features". 397 useful questionnaires were collected from March 15, 2010 to April 17. This study used the SPSS for windows 12.0 statistical software to analysis questionnaire data. Statistical methods include reliability analysis, factor analysis, descriptive statistics, t-test, ANOVA, and Pearson''s correlation. The major findings of this study are as follows: The majority of the Internet Go participants are male, the ages are below 17 years old, the levels of education are academy and University, and the occupation are students. The majority of participants begin to learn Go in Go Classes, have 4~7 years’ Go qualifications, have below or inclusive of 3 years’ Internet Go qualifications. Most of the Internet Go ranks is degree 1 to degree 4. Most participants don’t pay for Internet Go, spent at most 4 hours on Internet Go every week, don’t spent any time in face-to-face Go every week, don’t participate in Go competition in the last 12 months. The highest motivation of Internet Go is convenience-leisure. The following motivations are education, self-affirmation, escapism, and social contact. The highest leisure benefits of Internet Go is education-psychological benefits. The following benefits are aesthetic benefits, social benefits, and relaxation benefits. Every dimensions of motivation and every dimensions of leisure benefits are positive correlated (r=.200**~.723**). Besides, the average motivation and the average leisure benefits are positive correlated (r=.808**). It shows that higher motivation, higher leisure benefits. The hightest Internet Go addition is core symptoms of Internet addiction, and core symptoms of Internet Go addiction and all motivations are positive correlated (r=.199**~.370**). Because core symptoms of Internet Go addiction mean the extent of fascination for Internet Go, it shows that higher motivation, higher the extent of fascination for Internet Go. On the other hand, related problems of Internet Go addiction is only positive correlated to escapism (r=.108*) and self-affirmation (r=.133**) motivation. Because related problems of Internet Go addiction mean the problems that Internet Go causes to participants’ life, it shows that higher the escapism and self-affirmation motivation, higher the life-related problems that Internet Go may cause.