Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions.

Introduction
The Need for Analysis of Variance (ANOVA)
Means, Variances, Sums of Squares and Degrees of Freedom
Independent Group ANOVAs
One-Factor Independent Groups ANOVA
Multiple Comparisons: Independent Groups t-Tests
Two-Factor Independent Groups ANOVA
Repeated Measures ANOVAs
One-Factor Repeated Measures ANOVA
Multiple Comparisons: Dependent Measures t-Tests
Two-Factor Mixed Measures ANOVA
Two-Factor Repeated Measures ANOVA
Overview and Final Thoughts
Some Tips for Tests on ANOVA
Every Day Benefits of a Feel for Statistics and for Evaluating Data

Dr J. Rick Turner is President, Turner Consulting & Communications LLC, and Adjunct Professor of Pharmacy Practice at Campbell University College of Pharmacy & Health Sciences. He is an experimental research scientist and clinical trialist, with particular interests in the cardiac and cardiovascular safety of noncardiovascular drugs and the development and use of drugs for hypertension and type 2 diabetes mellitus.
He has published 15 books and over 100 peer-reviewed papers. He is member of the Cardiac Safety Research Consortium's Executive Committee and a Fellow of the Society of Behavioral Medicine, the American Society of Hypertension, the American College of Cardiology, the European Society of Cardiology, and the American College of Clinical Pharmacology.