LOG‐LINEAR MODELING IN PERSONNEL RESEARCH
介绍对数线性模型这一专门分析分类数据的统计方法，展示其在人事研究中的应用，并与卡方检验和回归分析进行比较。
Log‐linear modeling is a discrete multivariate statistical technique that is designed specifically for analyzing data when both the independent and dependent variables are categorical or nominal. The purpose of this paper is to demonstrate the utility of this technique in personnel research. The paper (a) discusses behavioral areas of application, (b) compares log‐linear modeling with chi‐square and regression analysis, (c) presents the basic principles and hypotheses of log‐linear modeling, and (d) shows how the technique is used.