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TURNER: INTRODUCTION TO ANALYSIS (P) OF VARIANCE: DESIGN,ANALYSIS, & INTERPRETATION: Design, Analyis & Interpretation: Design, Analyis and Interpretation (Englisch) Taschenbuch – 13. April 2001

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Produktinformation

Produktbeschreibungen

Pressestimmen

" 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." -- Catherine H. Renner

"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

"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

"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 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

Synopsis

Introduction to Analysis of Variance provides a practical and accessible guide to collecting, analyzing, and interpreting data using five different kinds of ANOVA techniques. Rick Turner and Julian Thayer take the reader from the simplest type of design to more complex types. They: explain which design/analysis is appropriate to answer specific questions. show how to design an experiment in the best possible way to investigate the topic of interest; demonstrate how to conduct the analysis and then fully interpret the results in the context of the research question; 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; describe how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports; include key concept boxes, summary sections, and exercises; offer tips for tests on ANOVA;

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Amazon.com: 4.7 von 5 Sternen 6 Rezensionen
5.0 von 5 Sternen A Masterpiece 10. November 2010
Von Farnaz H. - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book teaches you anova in plain English very clearly and enters the math symbols little by little after teaching the concepts. I highly recommend this to people who are to start their research and need statistical methods (especially if you do not have strong math background) and it is best used before working with statistical softwear packages.
4.0 von 5 Sternen Certainly an introductory book - some examples well worked. 22. Juli 2011
Von Cezar A. F. Anselmo - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
The book is for begginer students, but cover a lot of cases. Each session/chapter has one worked example, step-by-step calculations and considerations, including why use this anova case instead another.
9 von 9 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Fabulous introduction to different forms of ANOVA 3. März 2005
Von P. Kufahl - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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.
6 von 6 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Analysis of Varience Made Easy. 3. Januar 2007
Von L. Gajda - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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!
4 von 4 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Good Introduction 4. April 2007
Von Fabio Covarrubias - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book is a good overview of the ANOVA methods. It is most useful for people who need to learn quickly how to apply and interpret the most basic analysis of variance. Althought, it needs an urgent editing. It has all kinds of spelling and gramatical errors to say the least. The content is very good but if a non-native english speaker with an "ok" grammar (and an engineer) can point out thoes mistakes, well...you may not only need to interpret ANOVA results.
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