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Introduction to Analysis of Variance
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Introduction to Analysis of Variance
Design, Analyis & Interpretation

  • J. Rick Turner - Panama City Beach, FL, USA
  • Julian Thayer - Ohio State Univeristy, University of Pennsylvania, USA, National Institute of Health Gerontology Research Center
June 2001 | 192 pages | SAGE Publications, Inc
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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

"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." 

Jon L. Proctor
Criminal Justice, Westfield State College

"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."  

Catherine H. Renner
Nursing, Westchester University

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