Introduction to Analysis of Variance Design, Analyis & Interpretation [Paperback]

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.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.

"The strengths of the texts include the explanation of the different types of designs that are appropriate for ANOVA techniques. Description of the summary tables is well done, and the authors provide a good explanation of the differences between within subjects and between subjects designs and how these differences translate into more powerful designs when using repeated measures." 

The book does a great job of covering the necessary information and leaving the student with an understanding of not only what they are doing but what it all means. I would use it in my classes and I would recommend it to colleagues as a professional book if they are not well-versed in ANOVA.   

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 <i>t</i>-Tests
Two-Factor Independent Groups ANOVA
Repeated Measures ANOVAs
One-Factor Repeated Measures ANOVA
Multiple Comparisons: Dependent Measures <i>t</i>-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 al%