Regression, ANOVA, and the General Linear Model
A Statistics Primer
- Peter Vik - Pacific University, Forest Grove, OR, USA
Supplements
A selection of diverse conceptual and computational practice problems is provided for each chapter of the book, minus the introduction. Students are encouraged to use them as a study aid and instructors are encouraged to use them as a homework and/or testing tool.
The book stands out with its clarity and structure which allows students to easily orientate themselves in elementary methods of empirical research. The genral approach enables student's to derive further methods and adopt knowledge to various kinds of statistical software.
A very useful book which focuses on some of the more commonly used tests for biological sciences
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.
Although I really like this book (and recommend it as a supplemental text for my students), I did not adopt it. The book has very little support material (e.g., PowerPoint slide, images, homework and test problems, sample data sets), which makes it very difficult for me to choose it over other texts that have this material -- note: this is especially true for the data sets, which are difficult to create. Also, book does not have much coverage for follow-up analyses for interactions in multiple regression or factorial ANOVA. Although this is a complex topics and somewhat beyond the scope of the book, it is one that I have to cover in my class.
Clealry laid out text with good examples. Stress free reading !
This book provides a very clearly written step-by-step approach of GLM, without using too many statistical formulations.
Alternative way at looking at statistics compared to other texts. Use to show student the links between statistical tests and manage hand calculations
An indispensable reference that redefines the position of the linear model and clarifies statistical approaches in research. The text is engaging and provides relevance as both an introductory tome and dip-in reference.
An extremely good book that breaks down the subject in to understandable pieces
Excellent book for anybody performing research in sports science.
