Regression, ANOVA, and the General Linear Model
Author | : Peter Vik |
Publisher | : SAGE Publications |
Total Pages | : 345 |
Release | : 2013-01-14 |
ISBN-13 | : 9781483310336 |
ISBN-10 | : 1483310337 |
Rating | : 4/5 (37 Downloads) |
Download or read book Regression, ANOVA, and the General Linear Model written by Peter Vik and published by SAGE Publications. This book was released on 2013-01-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peter Vik's Regression, ANOVA, and the General Linear Model: A Statistics Primer 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.