A Study Investigated the Relationships among Leisure Involvement, Recreation Specialization, and Flow Experience in Surfing

• Main Authors: Yu-Mei Chen, 陳玉梅
• Other Authors: Chi-Yueh Hsu
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/44138323392267455687

碩士 === 朝陽科技大學 === 休閒事業管理系 === 103 === This study investigated the relationships among leisure involvement, recreation specialization, and flow experience in surfing and whether the leisure involvement, recreation specialization, and flow experience of the surfers varied with their background variables. We adopted a questionnaire survey and purposive sampling to collect data from surfers on the northern, central, southern, and eastern coasts of Taiwan. A total of 350 formal questionnaires were distributed, among which 302 valid samples were recovered, thereby accounting for a valid recovery rate of 86%. Descriptive statistics, independent samples t-tests, one-way ANOVA, canonical correlation analysis, and multiple stepwise regression analysis were employed to analyze the data. The primary findings of this study were as follows. In terms of gender, age, marital status, educational background, occupation, and monthly income, the largest groups were male, between 21 and 30 years of age, single, college graduates, industry or commerce, and between NTD 35,000 and NTD 50,000, respectively. Furthermore, the leisure involvement, recreation specialization, and flow experience of the surfers varied significantly with gender, age, occupation, and monthly income, which means that the leisure involvement, recreation specialization, and flow experience of the surfers vary with their background. The results of the canonical factor analysis presented a positive canonical correlation between the leisure involvement of surfers and the recreation specialization of surfing; greater leisure involvement in the participants corresponded to a greater degree of recreation specialization. The leisure involvement and recreation specialization of surfers can be used to effectively predict their flow experience.