Regression, ANOVA, and the General Linear Model
A Statistics Primer
Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
| Author: | Peter W. Vik | ISBN: | 9781483316017 |
| Publisher: | SAGE Publications | Publication: | January 14, 2013 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Peter W. Vik |
| ISBN: | 9781483316017 |
| Publisher: | SAGE Publications |
| Publication: | January 14, 2013 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
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.
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.
