PATH ANALYSIS: AN EXAMPLE
用Scully（1962）的数据演示路径分析技术，该方法能分解结构方程模型中两个变量的协方差，从而评估一个变量对另一个变量的因果效应，比回归更适用于经济学家和社会学家。
This paper describes the technique of path analysis using data from Scully (1962). Path analysis is a method of decomposing covariances or correlations between two variables in a structural equation model in order to determine how much of this covariance is attributable to a theoretically specified causal effect of one variable on the other. In so far as it allows us to assess the relative importance of different explanatory variables in a more adequate manner than does regression, path analysis is a technique of wide potential applicability to economists and sociologists.