文章基本信息

标题：General Linear Models: An Integrated Approach to Statistics
其他标题：General Linear Models: An Integrated Approach to Statistics
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作者：Sylvain Chartier ; Andrew Faulkner
期刊名称：Tutorials in Quantitative Methods for Psychology
电子版ISSN：1913-4126
出版年度：2008
卷号：4
期号：2
页码：65-78
DOI：10.20982/tqmp.04.2.p065
出版社：Université de Montréal
摘要：Generally, in psychology, the various statistical analyses are taught independently from each other. As a consequence, students struggle to learn new statistical analyses, in contexts that differ from their textbooks. This paper gives a short introduction to the general linear model (GLM), in which it is showed that ANOVA (one‐way, factorial, repeated measure and analysis of covariance) is simply a multiple correlation/regression analysis (MCRA). Generalizations to other cases, such as multivariate and nonlinear analysis, are also discussed. It can easily be shown that every popular linear analysis can be derived from understanding MCRA.