The Relationships of Work-Life Conflict, Social Support, Burnout and Well-being among Employees in Central Taiwan.

• Main Authors: Shu-Yi Fang, 方淑怡
• Other Authors: 黃淑玲
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/4n3dp2

碩士 === 中山醫學大學 === 心理學系暨臨床心理學碩士班 === 103 === The purposes of this study were (1) to construct structural equation models (SEMs) of work-life conflict, burnout, well-being and social support from three sources (including family, friends, and colleagues) respectively, and (2) to investigate the predictors of employees’ work-life conflict, social support, burnout and well-being. The study adopted the cross-sectional research design with convenience sampling to collect data from full-time employees aged from 20 to 65 years old in central Taiwan. A self-reported questionnaire including “work-life conflict inventory”, “social support inventory”, “burnout inventory” and “Chinese happiness inventory” was used in this study. In total, 601 valid questionnaires were obtained. Data were analyzed by descriptive statistics, one-way ANOVA and Pearson’s correlation using the SPSS 22.0. The paths of work-life conflict, social support, burnout and well-being using LISREL 8.52 were conducted as well. The main results were as follows: (1) In the SEM, work-life conflict showed a direct and significant impact on burnout. However, work-life conflict showed an indirect impact on well-being; burnout mediated the relationship. (2) In the SEM, social support had a negative impact on burnout directly, no matter was from which sources. All three kinds of social support had positive impacts on well-being, directly and indirectly. (3) The predictors of work-life conflict, social support, burnout and well-being were presented below: (a) The work-life conflict levels were significantly different in sex, age, educational level, marital status, financial status, occupational profession. (b) In social support, female had a higher level of social support than male did in each source, but only the support from family showed a statistical significance. The other demographic or occupational variables did not show consistent difference on the three kinds of social support. (c) The burnout levels showed significant differences in sex, age, self-perceived financial status and the level of difficulty in getting off work on time. (d) The well-being levels showed significant differences in age, marital status, self-perceived financial status and the level of difficulty in getting off work on time.