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題 名 | 中文版綜合健康量表應用的適切性=The Confirmatory Factor Analysis of General Well-Being Questionnaire in Chinese (Taiwanese) Context |
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作 者 | 林瑞發; | 書刊名 | 測驗年刊 |
卷 期 | 44:2 1997.07[民86.07] |
頁 次 | 頁47-62 |
分類號 | 179.5 |
關鍵詞 | 綜合健康量表; General well-being questionnaire; GWBQ; |
語 文 | 中文(Chinese) |
中文摘要 | 綜合健康量表(General Well-being Questionnaire, GWBQ; Gotts & Cox, 1998; Lin, 1994)是取材自臨床臨界病徵的自陳量表,此一衝量個人健康的工具,早在西方社會沿用時;本研究運用結構方程模式(Structural Equation Model)探討其理論架構是否泛存於中華(臺灣)文化背景中。量表依據聯合國世界衛生組織(WHO)的定義,將健康視為是一種正向互動的心理、生理和社會的舒適狀態,並且可以藉著各種方法來加以改善或提昇;介於絕對健康與可察測的疾病傷殘狀態間的“灰色地帶”,正是健康量表用來測量個人日常生活健康情情形的寫照;健康程度因此可以說是個人與外界環境互動的結果。奠基於互動(交流)模式的壓力與健康理論,綜合健康量表以個個分量表來程現如此的特性:“瘟熬”(Wornout)症狀群顯示有關於疲倦、情緒敏感知認知混亂等心理徵候;“焦躁"(Uptight)症候群則包含憂慮、害怕、緊張和生理焦慮等身體上的病候。經過泛文化的考驗的和發展,健康理論的概念架構和實用價?已受到國際的肯定。健康的理論也被廣泛的應用到職業衛生(Occupational Health)、組織健康(Organisational Health)、心理衛生、壓力與適應和其它相關的個人一環境界面(Person-environment)適合度等研究領域。綜合健康量表在國際化趨勢的衝擊下,已研發出國際化版本和實證效度,以探討人們維持健康的衡定機制。本研究以1,399位臺灣的專業教職人員為樣本,進行中文版綜合健康量表跨文化應用的特性驗證,發現結果如下: 1.綜合健康量表的內部一致性良好(Cronbach α=.87和.85),適合進一步的進行健康理論建構效度的跨文化特性檢驗; 2.篩選所有測量項目的基本描述參數和相關矩陣,得知其符合常態分配和非複共線性的假定,合於理論架構的構成檢驗;最後, 3.以結構方程模式得知:原有健康理論模式可泛存中華(臺灣)文化的社會背景之下(GFI=.92AGFI=.90; RMSR-.04; BBI=.89; PGFI=.73),結構系數在.41到.76間,並含七對誤差項相關。 總之,綜合健康量表在原有理論架構下,經以心理計量和結構方程模式驗證後,證實其泛文化應用的適用性,同時開創其在中文化、標準化和本土化的可行性。 |
英文摘要 | Confirmatory factor analysis method is employed to verify the framework of the General Well-being Questionnaire in the Chinese society. Fourteen hundreds of primary and secondary schoolteachers were used in this structural equation model with LISREL VII. The common factor structure of GWBQ is successfully replicated in Chinese cultural background. This pan-cultural trial is recognized as not only a theoretical but also a methodological/statistical research. The framework of GWBQ model has been acquired again in different society. The results of theoretical/methodological/statistical analysis are shown as follows: 1.The Cronbach α coefficient (an index of internal consistency) is highly acceptable with values of .87 and .85 (for WORNOUT and UPTIGHT subscales respectively); 2.According to the descriptive statistics and covariance matrix, the derived data are suitable to be analysed directly without considering any necessary specific transformation (e.g. 'Tobit analysis Muthen, 1989') before a formal factor modelling; 3.The final model has been approached by Maximum Likelihood method (x2(224)=1374.38; p<.000; GFI=.918; AGFI=.900; RMSR=0.41; BBI=.888; PGFI=.73) with seven error terms correlated within and across two different factors. Lamda coefficients ranged from .41 to .76. Conclusively speaking, GWBQ is simply recommended as a useful instrument for measuring individual health in Chinese society. |
本系統中英文摘要資訊取自各篇刊載內容。