交互作用和間接效果

Interaction and Indirect effects

林上博(Shang-Bo Lin)

指導教授 ： 陳鄰安

國立交通大學/理學院/統計學研究所/碩士(2015年)

https://doi.org/10.6842/NCTU.2015.00217

摘要

將一個迴歸函數看成因果關係的果(effect)而進一步的剖析是否有不同性質的效果是許多不同領域共同興趣。受最多關注的是是否存在交互作用的問題。而交互作用通稱為解釋變數因相互關係而產生的結果。另外，尤其在社會學、政治學與流行病學裡特別想剖析的是迴歸函數是否存在由一個解釋變數經由其他解釋變數再來影響反應變數的效果。此一效果稱之為間接效果(indirect effect)。我們將分析當所有解釋變數的間接效果加起來是否等於交互作用的問題。

關鍵字

效果解構 ； 間接效果 ； 統計交互作用

並列摘要

Considering a regression function as a causality relationship and attempting to decompose this regression function into effects of various types is a topic very popular for many years. Among the various effect decomposition, the interaction assessment has been received very much attention. On the other hand, decomposition of the effect of one explanatory variable into effect without mediation by other explanatory variable and effect with mediation by on specific explanatory variable is useful in sociology, political and epidemiology. The aim of this paper is to analyze the relationship between these two important topics.

並列關鍵字

Effect decomposition ； Indirect effect ； Interaction

參考文獻

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廣義Neyman-Rubin的因果模型在評估迴歸上交互作用的應用/莊揚凱(2013)著；陳鄰安指導

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