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Introduction to Analysis of Variance

Introduction to Analysis of Variance
Design, Analyis & Interpretation

April 2001 | 192 pages | SAGE Publications, Inc
Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here's a new book that does all this in a particularly readable fashion. Turner and Thayer's text:
  • Shows how to design an experiment in the best possible way to investigate the topic of interest
  • Explains which associated analysis will best answer your research question
  • Demonstrates how to conduct the analysis and then fully interpret the results in the context of your research question 

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. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports.

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
Key features
  • Key Concept Boxes: Highlight and summarize important concepts
  • Summary Sections: Provide readers with a recap of the material covered in each chapter
  • Exercises: Give readers the opportunity to put into practice the concepts they've just learned

For instructors

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This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.