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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/55290


    Title: 模型設定與測量誤差對組合性潛在構念之效度的影響 (II)
    Other Titles: Effects of Model Specifications and Measurement Errors on the Validity of Composite Latent Construct
    Authors: 鄭中平
    Contributors: 國立政治大學心理學系
    行政院國家科學委員會
    Keywords: 組合性潛在構念;形成性指標;效度;模型設定;測量誤差
    Date: 2007
    Issue Date: 2012-11-08 14:04:56 (UTC+8)
    Abstract: 心理學中有許多構念﹐其指標用以組合成構念﹐而非用來反映構念﹐此類構念稱之為組合性潛在構念﹐用以形成構念之指標則稱為形成性指標。組合性潛在構念在測驗編製過程中﹐多主張研究者宜清楚的定義相關面向﹐而指標需遍及各面向﹐遺漏面向可能扭曲構念意義。然對於不同研究者﹐相同構念可能有不同測量﹐構念之相關面向亦可能隨科學發展而更動﹐此即﹐在測量過程中﹐遺漏組成面向或納入非組成面向皆為可能之設定錯誤﹐本計畫即擬以蒙地卡羅法﹐探討兩類設定錯誤對模型估計值（主要是反應構念間關係之效度）與適合度之影響。其次﹐形成性指標常假設無測量誤差﹐此假設亦幾乎不可能成立﹐瞭解測量誤差之可能影響亦為本計畫研究目的之一﹐期能提供研究者在處理組合性潛在構念時之指標選擇策略。
    MacKenzie, Podsakoff, and Jarvis (2005) classified latent constructs as common latent
    constructs (common LCs) and composite latent constructs (composite LCs). They also
    demonstrated by simulation that misspecification of the measurement model of composite
    LCs results in biased estimates of path coefficients, which can invalidate the conclusion about
    interrelationship between constructs. By simulation, this study shows that when
    unstandardized coefficient is concerned such as in MacKenzie et al. (2005),
    misspecificationresults severely inflated estimates. But if standardized coefficient is
    concerned or scale is setting appropriately, the relative bias can be reduced; in some situation,
    it is less than 5%.
    Relation: 基礎研究
    學術補助
    研究期間:9608~ 9707
    研究經費:243仟元
    Data Type: report
    Appears in Collections:[心理學系] 國科會研究計畫

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