休閒認知實證之研究

A Study of Framework of Developing in Perceptions of Leisure

徐茂洲(Mao-Chou Hsu)

《運動與遊憩研究》 4卷2期 (2009/12) Pp. 20-33

https://doi.org/10.29423/JSRR.200912_4(2).0002

摘要

本研究目的探討新生醫護專科學校學生休閒認知，運用結構方程模式(Structural Equation Modeling, SEM)藉以實證休閒認知模式，分析變數之間的線性關係。採叢集抽樣施測總共300位新生醫護專科學校學生進行實證研究，共回收293份，扣除11份無效問卷，有效問卷爲283份，有效問卷率爲94%。結果顯示休閒認知模式配適度不佳，經過模式修正刪除5項衡量變數，修正後評估指數已改善，其整體模式配適指標：χ^2值爲170.792，自由度爲65，p值爲.000，RMR爲.026，RMSEA值爲.076，GFI值爲.922，AGFI值爲.873，NFI值爲.940，RFI值爲.915，IFI值爲.962，TLI值爲.946，CFI值爲.961，PGFI值爲.570，PNFI值爲.671，PCFI值爲.687，χ^2自由度比2.628。表示成就價值、身心健康、生理效益、自我成長與人際社交等5個潛在變項以及14項觀察變項皆可以有效作爲休閒認知的測量指標。休閒認知模式建構建構效度達到要求標準。成就價值、身心健康、生理效益、自我成長與人際社交之間的關係互相影響。

關鍵字

休閒認知 ； 結構方程模式

並列摘要

This study was aiming on understanding the perceptions of leisure about students from Hsin Sheng College of Medical Care and Management. By using Structural Equation Modeling, SEM, this paper is able to build a model by student's perceptions of leisure, also analyze the linear relationships between all variables. Three hundred surveys were sent out base on cluster sampling; 293 were returned and 283, rated 94%, are avail-able. However, the first result had shown problems about the goodness of fit index. After several tries, the team successfully modified the model by deleting five measurable variables. In the correct model, absolute fit indices were: χ^2=170.792, df=65, p=.000, RMR=.026, RMSEA=.076, GFI=.922, AGFI=.873, NFI=.940, RFI=.915, IFI=.962, TLI=.946, CFI=.961, PGFI=.570, PNFI=.671, PCFI=.687, χ^2=2.628. The conclusion showed, there were five latent variables, namely, sense of accomplishments, mental and physical health, physical improvements, self-growth, and interpersonal relationship. And those five might have strong influences and connections to one another. Fourteen observed variables alone with five latent variables could be the index measurements for future researches on perceptions of leisure. The model, built for this research about perceptions of leisure, was construct validity.

並列關鍵字

Perceptions of Leisure ； Structural Equation Modeling ； SEM

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