There also are several important me

There also are several important methodological issues that need to be taken into account in future research. First, it is clear from both Tables 4a and 4b that common method variance has a substantial impact on the relationships between OCBs/contextual performance and criterion variables like performance evaluations. Although it has not been studied, it is likely that common method variance also has biased the observed relationships between OCBs and their antecedents in those studies where both the OCBs and the antecedent variables were obtained from the same source . This suggests that future research needs to take steps to control the contaminating effects of common method variance. There are several possible ways this could be accomplished. One is a statistical form of control, which involves adding a first-order method construct to the hypothesized latent variable structural equation model . Another way to control for this bias is by designing the study so that the measures of the predictor and criterion variables are obtained from different sources . However, regardless of which of these techniques of control is used, the important point is that some method of controlling for this bias must be used.

結果 (繁體中文) 2:

在今後的研究中，還需要考慮到若干重要的方法問題。首先，表 4a 和表 4b 都清楚地顯示，通用方法差異對 OCB/上下文績效和績效評估等標準變數之間的關係有重大影響。雖然尚未研究，但常見的方法方差也可能偏向了OcB與其前身之間的觀測關係，在這些研究中，OCB和前置變數都是從同一來源獲得的。這表明，未來的研究需要採取措施來控制常見方法方差的污染效應。有幾種方法可以做到這一點。一個是統計形式的控制，它涉及到將一階法構造添加到假設的潛伏變數結構方程模型中。控制這種偏差的另一種方法是設計研究，以便從不同的來源獲得預測變數和標準變數的度量。但是，無論使用這些控制技術，重要的是必須使用某種方法來控制這種偏差。

結果 (繁體中文) 3:

還有一些重要的方法學問題需要在今後的研究中加以考慮。首先，從錶4a和4b中可以清楚地看出，通用方法方差對OCBs/上下文效能和標準變數（如效能評估）之間的關係有著實質性的影響。雖然還沒有研究過，但是在OCBs和先行變數都來自同一來源的研究中，共同方法方差也可能使OCBs和其先行變數之間的觀察關係產生偏差。這表明未來的研究需要採取措施來控制常用方法方差的污染效應。有幾種可能的方法可以做到這一點。一種是控制的統計形式，包括在假設的潜在變數結構方程模型中加入一階方法構造。控制這種偏差的另一種方法是設計研究，以便從不同來源獲得預測變數和準則變數的度量。然而，不管使用哪種控制科技，重要的一點是必須使用某種方法來控制這種偏差。