Browsing by Author "Chen, Lung Hung"

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How do Positive Views Maintain Life Satisfaction?
(2009-04-01)
Wu, Chia-Huei
;
Tsai, Ying-Mei
;
Chen, Lung Hung
;
經營管理研究所
;
Institute of Business and Management
This study proposes three mediation pathways to explain how the positive views (perceived control, optimism and self-enhancement) proposed by Cummins and Nistico (Journal of Happiness Studies 3:37-69 2002) maintain life satisfaction. The three pathways were enhancing self-esteem, reducing have-want discrepancy and changing importance perceptions. Two hundred and seventy-two undergraduates from Central Taiwan University of Science and Technology and Nan Kai Institute of Technology voluntarily participated in this study. Questionnaires measuring sense of control, optimism, self-enhancement, self-esteem, have-want discrepancy and importance of life domains, and global life satisfaction were administered to participants in a classroom setting. Correlation and structural equation modeling analyses were conducted to examine the mediation effects of these three pathways. Generally, results of correlation and structural equation modeling analyses were consistent with hypothesized relations among variables and showed that the relationship between positive views and life satisfaction was completely mediated by self-esteem, have-want discrepancy and shifting tendency of importance perception, indicating that the three pathways of enhancing self-esteem, reducing have-want discrepancy and changing importance perceptions had unique effects to explain how positive views maintain life satisfaction.
Investigating Importance Weighting of Satisfaction Scores from a Formative Model with Partial Least Squares Analysis
(2009-02-01)
Wu, Chia-Huei
;
Chen, Lung Hung
;
Tsai, Ying-Mei
;
經營管理研究所
;
Institute of Business and Management
This study introduced a formative model to investigate the utility of importance weighting on satisfaction scores with partial least squares analysis. Based on the bottom-up theory of satisfaction evaluations, the measurement structure for weighted/unweighted domain satisfaction scores was modeled as a formative model, whereas the measurement structure for global satisfaction scores was modeled as a reflective model according to top-down theory. The purpose was to see if the predictive effect of importance-weighted domain satisfaction scores is stronger than unweighted domain satisfaction scores in predicting global satisfaction scores. Three datasets in life, self, and job satisfaction were analyzed. In the life satisfaction dataset, 237 undergraduates at Central Taiwan University of Science and Technology voluntarily provided their responses. The mean age of respondents was 20.80 years (SD = 1.05). In the self-satisfaction dataset, 269 undergraduates at National Taiwan University provided their responses. The mean age of respondents was 19.78 years (SD = 1.44). Finally, in the job satisfaction dataset, 557 staff members in seven Taiwan provincial hospitals provided their responses. The mean age of respondents was 35.87 years (range from 21 to 65, SD = 8.60). Three measures of domain satisfaction, domain importance, and global satisfaction were collected in each dataset. Partial least squares analysis was used in model estimation. All the results revealed that unweighted domain satisfaction scores have a stronger predictive effect for global satisfaction measures than importance-weighted domain satisfaction scores, indicating that importance weighting on satisfaction scores did not have an empirical benefit.
Longitudinal invariance analysis of the satisfaction with life scale
(2009-03-01)
Wu, Chia-Huei
;
Chen, Lung Hung
;
Tsai, Ying-Mei
;
經營管理研究所
;
Institute of Business and Management
This research examined longitudinal measurement invariance in the satisfaction with life scale using two studies. The first followed a sample of 236 university students (93 mate and 143 female) who completed the SWLS twice over a two-month interval. The second used a sample of 242 adolescent athletes (133 male and 109 female) who completed the SWLS three times over a period of six months. Confirmatory factor analysis was used to examine longitudinal measurement invariance. For the university student sample, results showed that the SWLS is partial strict invariant (equality of factor patterns, loadings and intercepts across time for all items and equality of item uniqueness for items 1, 2, 4 and 5 across time). For the adolescent athlete student sample, the SWLS is partial strong invariant (equality of factor patterns, loadings across time for all items and equality of intercepts for Items 2, 3, and 4 across time). For both samples, stability coefficients across time were moderately high and latent factor means were not significantly different across time. Generally, these results suggest that the SWLS has satisfactory psychometric properties for longitudinal measurement invariance. (C) 2008 Published by Elsevier Ltd.