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A Student's Guide to Analysis of Variance
Contributor(s): Roberts, Maxwell (Author), Russo, Riccardo (Author)

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 ISBN: 0415165652     ISBN-13: 9780415165655
Publisher: Routledge
OUR PRICE: $54.10  

Binding Type: Paperback - See All Available Formats & Editions
Published: January 1999
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Annotation:

Analysis of Variance (ANOVA) is one of the most widely used statistical tests in psychology and other behavioral sciences. "A Student's Guide to Analysis of Variance" clearly and simply explains how to conduct and interpret ANOVA. It includes information on how to conduct ANOVA for a range of research designs, use follow-up tests, make sense of interactions and write formal reports. It also offers many valuable hints on how to make the best of the techniques available and how best to avoid pitfalls.
Additional Information
BISAC Categories:
- Psychology | Statistics
- Mathematics | Probability & Statistics - General
Dewey: 519.538
LCCN: 98027699
Physical Information: 0.84" H x 5.62" W x 8.68" L (0.91 lbs) 288 pages
Features: Illustrated
Review Citations: Scitech Book News 12/01/2000 pg. 40
 
Descriptions, Reviews, Etc.
Publisher Description:

In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it.
A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports.
Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.
 
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