ABSTRACT
Chapter 7 introduces the reader to the general linear model (GLM), the underlying mathematical model employed in parametric statistics. It describes what a model is and provides examples of fitting data to a linear model. It includes some of the key concepts and terms used within GLM and analysis of variance such as intercept, homoscedasticity, factors, interaction, and between subjects. The chapter then goes on to describe the difference between univariate analysis of variance, multivariate analysis of variance, and repeated measures analysis of variance. It also describes contrasts, multiple pairwise comparisons, post-hoc multiple comparisons, and main effects.
