Introduction to Analysis of Variance : Design, Analyis & Interpretation - J . Rick Turner

Introduction to Analysis of Variance

Design, Analyis & Interpretation

By: J . Rick Turner, Julian F. Thayer

Paperback | 1 April 2001

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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? Hereâ²s a new book that does all this in a particularly readable fashion. Turner and Thayerâ²s 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.

Industry Reviews
"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 "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

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