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

J . Rick Turner (Author), Julian F. Thayer (Author)
4.7 out of 5 stars  See all reviews (6 customer reviews)

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Book Description

0803970757 978-0803970755 March 15, 2001 1
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.

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Editorial Reviews

Review

"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 )

Product Details

  • Paperback: 192 pages
  • Publisher: Sage Publications, Inc; 1 edition (March 15, 2001)
  • Language: English
  • ISBN-10: 0803970757
  • ISBN-13: 978-0803970755
  • Product Dimensions: 9.2 x 6.1 x 0.4 inches
  • Shipping Weight: 8 ounces (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #747,999 in Books (See Top 100 in Books)

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6 Reviews
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7 of 7 people found the following review helpful:
5.0 out of 5 stars Fabulous introduction to different forms of ANOVA, March 3, 2005
This review is from: Introduction to Analysis of Variance: Design, Analyis & Interpretation (Paperback)
During my years in graduate school, I've noticed a general lack of familiarity in graduate students, from engineering or from biological backgrounds, in statistical techniques. I also often read papers (usually in the medical science journals) that demonstrate variable levels of statistical understanding. After reading many book chapters, MATLAB materials and web pages, I found this book to be the clearest and easiest introduction to ANOVA techniques. I've been recommending it to many people that depend on self-learning to substantiate their competence in data analysis.

Whenever I need to re-learn the fundamentals and assumptions of a particular technique, I find it useful to spend a half-hour or so with my favorite textbook on that subject. This handbook has become that textbook: there's nothing wrong with being easy to read.

My only complaint is that for $27, you don't get an in-depth introduction to ANCOVA, which is a very common related technique. Too bad, but it does not prevent me from giving this small book my highest recommendation. Of course, there are many $90+ books out there that lack either clarity about ANOVA or discussion of ANCOVA or both.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Analysis of Varience Made Easy., January 3, 2007
By 
L. Gajda (Ypsilanti, MI USA) - See all my reviews
(REAL NAME)   
This review is from: Introduction to Analysis of Variance: Design, Analyis & Interpretation (Paperback)
The reason I purchased this book was because I had a real set of data and a set of research questions that were amenable to a two-way analysis of varience. Being a non-academic (and retired as well) the only packaged software I had to address the problem was an old student version of SPSS which was only able to do a one-way analysis of varience. I needed a resource that would enable me to set up a two-way analysis of varience within a spreadsheet format and after scanning the list of books available at Amazon I settled on this one and hoped it would do the trick.

On the day the book arrived, I read the first few chapters, found a completed example that was fundamentally the same as my problem, and using the example as a guide set up a spreadsheet program to do my analysis. Within three hours of receiving the book my analysis was complete; and, I understood the statistical rationale on which the analysis was based. The book was exactly what I needed!
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Introduction to the Analysis of Variance, February 13, 2008
This review is from: Introduction to Analysis of Variance: Design, Analyis & Interpretation (Paperback)
Great book. Very conversational. The only downside is that all the steps are shown by hand when most classes today also use a statistics computer package. However, by doing the problems by hand, the partitioning of variance is quite clear. Highly recommended!
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Inside This Book (learn more)
First Sentence:
The study of the behavioral sciences has major differences from the study of the physical sciences. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
squared subtotal, subtracting the correction factor, breakdown diagram, variance breakdown, mathematical answers, bubble diagrams, effect variance, full interpretation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Time of Test, Subjects Within Drugs, Subjects Within Stimulus, Summary Table Source, University Position, United States, Car Company, Compare Week
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