This new book provides a theoretical and practical guide to analysis of variance (ANOVA) for those who have not had a formal course in this technique, but need to use this analysis as part of their research.
From their experience in teaching this material and applying it to research problems, the authors have created a summary of the statistical theory underlying ANOVA, together with important issues, guidance, practical methods, references, and hints about using statistical software. These have been organized so that the student can learn the logic of the analytical techniques but also use the book as a reference guide to experimental designs, realizing along the way what pitfalls are likely to be encountered.
Contents: Preface. Quick Summary. Understanding the Basics. Practical Analysis. Pitfalls and Common Issues. Using SPSS for ANOVA. Contrasts and Trends. Advanced Topics. Specific Designs. Mathematics. Statistical Tables. Glossary. Futher Reading.