Regression, ANOVA, and the General Linear Model: A Statistics Primer

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.



Author: Peter Wright Vik
Publisher: Sage Publications, Inc
Published: 01/14/2013
Pages: 344
Binding Type: Paperback
Weight: 1.24lbs
Size: 9.16h x 7.39w x 0.72d
ISBN13: 9781412997355
ISBN10: 1412997356
BISAC Categories:
- Social Science | Statistics
- Social Science | Research

This title is not returnable