Regression ANOVA and the General Linear Model

Peter Vik's <b>Regression ANOVA and the General Linear Model: A Statistics Primer</b> demonstrates basic statistical concepts from two different perspectives giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test correlation and ANOVA and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter followed by the same analysis demonstrated using GLM. By so doing students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike. <br /><br />