INTERPRETING HIGHER-ORDER INTERACTIONS IN LOG-LINEAR ANALYSIS
INTERPRETING HIGHER-ORDER INTERACTIONS IN LOG-LINEAR ANALYSIS
复制标题
DOI：
10.1037/0033-2909.103.1.121
复制
发表时间：
1988-01-01
影响因子：
22.4
通讯作者：
ELLIOTT, GC
中科院分区：
文献类型：
--
作者：
ELLIOTT, GC
在本文中，我呼吁在多路应变表的日志线性分析中改变焦点。到目前为止，研究人员主要集中在寻找最适合观察到的数据的模型的程序上。在许多情况下，最佳拟合模型包含一个或多个复杂的高阶相互作用，涉及多个变量。通常希望了解这些相互作用的模式。在本文中，我提出了一种实质性解释这种高阶相互作用的程序。此过程基于对数线性分析和一般线性模型之间的类比。从职业愿望文献中提到的一个例子说明了该程序的应用。
In the present article, I call for a change in focus in the log-linear analysis of multiway contingency tables. Up to this point, researchers have concentrated largely on procedures for finding the model that most adequately fits the observed data. In many cases, the best fitting model contains one or more complex, higher order interactions involving several variables. It is often desirable to understand the pattern of these interactions. In this article, I present a procedure for substantively interpreting such higher order interactions. This procedure is based on the analogy between log-linear analysis and the general linear model. An example taken from the occupational aspirations literature illustrates the application of the procedure.