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.
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.
This is an excellent and unique statistics text that bridges the gap between linear modelling approaches and the traditional test-focussed perspective. Worthy of comparison with Rich Zeller and Ed Carmines classic text, explaining the essential underpinning concepts rather than trying to teach statistical tests by rote.
Not what I had anticipated. Had hoped for something that also incorporated SPSS.
Easy to read even for the undegraduates with limited knowledge of statistics as provides a step-by-step approach to understanding ANOVA and regression techniques.
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.
In my opinion slightly too detailed for undergraduates
