A Study of the Relationship between Leisure Participating and Job Stress on the Fire Fighters’-Taipei County as an Example

碩士 === 中國文化大學 === 生活應用科學研究所 === 98 === Abstract The purpose of this study was in attempt to probe leisure participating and job stress related problems of firefighters; secondary to understand current background variables, leisure participation and job stress. The study adopted the use of questionna...

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Bibliographic Details
Main Authors: Liang-Chien Hung, 洪良建
Other Authors: Chun-hsien Su
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/35877581585218111713
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Summary:碩士 === 中國文化大學 === 生活應用科學研究所 === 98 === Abstract The purpose of this study was in attempt to probe leisure participating and job stress related problems of firefighters; secondary to understand current background variables, leisure participation and job stress. The study adopted the use of questionnaire which applied firefighters on duty in Taipei country. Stratified sampling is applied in this study, 257 were valid responded (96%). The questionnaire consisted of three sections: leisure participating scale, job stress scale and personal background survey. Data were analyzed using SPSS 12.0 statistical package for Windows, including Descriptive analysis, Reliability analysis, independent t-test, one-way ANOVA, Scheffe’s method, and Regression analysis. Results of the study are as followed: 1. The ratio of male members was slight higher than female members, while about 90% of the members were between 20 to 39 years old. 2. Among the five factors of attending leisure activities of the firemen, the entertainment option marks the highest involvement. 3. The major pressure for the firemen comes from work. 4. There are significant differences for leisure participation result from while the firemen have different age, marriage status, family life cycle and seniority. 5. There is significant differences for job stress result from while the firemen have different age. 6. The two variables of entertainment and social are able to predict job stress, and the measures of variation are 2%.