ABSTRACT

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.

chapter Chapter 1|6 pages

Quick Summary

chapter Chapter 2|53 pages

Understanding the Basics

chapter Chapter 3|46 pages

Practical Analysis

chapter Chapter 4|9 pages

Pitfalls and Common ISSUES

chapter Chapter 5|27 pages

Using Spss for Anova

chapter Chapter 6|14 pages

Contrasts and Trends

chapter Chapter 7|54 pages

Advancad Topics

chapter Chapter 8|151 pages

Specific Designs

chapter Chapter 9|35 pages

Mathematics

chapter Chapter 10|6 pages

Statistical Tables