Regression, ANOVA, and the General Linear Model
A Statistics Primer
- Peter Vik - Pacific University, Forest Grove, OR, USA
“I believe that when students are taught about statistics using the approach of this text, they have a MUCH deeper understanding and appreciation of the material. It is really fantastic.”
“The author does a really nice job of explaining the General Linear Model (GLM) by comparing it to hypothesis testing and showing [some of] its real-world applicability.”
“The text includes simple descriptions of complex mathematical concepts that are the foundation of statistics in the social sciences.”
“I think the book provides a nice step-by-step approach to understanding ANOVA and regression techniques. The author does an excellent job breaking down the different components of these statistical techniques while capturing the attention of the reader.”
“…the author really takes the readers step by step and makes the material easy to follow even for readers without extensive mathematics backgrounds.”
This book provides a very clearly written step-by-step approach of GLM, without using too many statistical formulations.
Not what I had anticipated. Had hoped for something that also incorporated SPSS.
Vik covers clearly and simply the mathematical concepts underlying vast tools in statistical methods. The examples are very helpful and are well explained in that a student with no statistical background can grasp the concepts therein without much difficulty. I would recommend students to supplement this text with their primary text when they take courses in statistics.
A useful text for students completing a Masters programme and doing a research dissertation. Good level of detail included and step by step process in various statistical tests is easy to follow.
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In my opinion slightly too detailed for undergraduates
Alternative way at looking at statistics compared to other texts. Use to show student the links between statistical tests and manage hand calculations
