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Computer-Aided Multivariate Analysis, Third Edition [Hardcover]

Abdelmonem Afifi (Author), Virginia A. Clark (Author), V. Clark (Author)
4.0 out of 5 stars  See all reviews (4 customer reviews)


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Practical Multivariate Analysis, Fifth Edition (Chapman & Hall/CRC Texts in Statistical Science) Practical Multivariate Analysis, Fifth Edition (Chapman & Hall/CRC Texts in Statistical Science)
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Book Description

June 6, 1996 041273060X 978-0412730603 3
Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and neglect to explain how to perform and interpret multivariate analyses on real-life data.
For years, Afifi and Clark's Computer-Aided Multivariate Analysis has been a welcome exception-helping researchers choose the appropriate analyses for their data, carry them out, and interpret the results. Only a limited knowledge of statistics is assumed, and geometrical and graphical explanations are used to explain what the analyses do. However, the basic model is always given, and assumptions are discussed.
Reflecting the increased emphasis on computers, the Third Edition includes three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. Another new chapter focuses on log-linear analysis of multi-way frequency tables.
Students in a wide range of fields-ranging from psychology, sociology, and physical sciences to public health and biomedical science-will find Computer-Aided Multivariate Analysis especially informative and enlightening.


Product Details

  • Hardcover: 456 pages
  • Publisher: Chapman and Hall/CRC; 3 edition (June 6, 1996)
  • Language: English
  • ISBN-10: 041273060X
  • ISBN-13: 978-0412730603
  • Product Dimensions: 9.4 x 6.2 x 1.3 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #666,078 in Books (See Top 100 in Books)

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9 of 10 people found the following review helpful:
5.0 out of 5 stars Only a limited knowledge of statistics is assumed!, August 21, 1998
By 
microevolution (Chicago, Illinois, USA) - See all my reviews
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This review is from: Computer-Aided Multivariate Analysis, Third Edition (Hardcover)
Often, students and researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of advanced techniques, in part, because books focus on the theory and neglect explaining how to perform and interpret multivariate analyses on real-life data. Computer-Aided Multivariate Analysis is a welcome exception, helping students choose the appropriate analyses for their data, carry them out and interpret the results. Only a limited knowledge of statistics is assumed and geometrical and graphical explanations are used to explain what the analyses do. However the basic model is always given and assumptions are discussed. In this edition the computer emphasis is enhanced by the inclusion of three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. This third edition contains a new chapter on log-linear analysis of multi-way frequency tables.
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5 of 6 people found the following review helpful:
5.0 out of 5 stars Excellent, low-key intro to many techniques, March 28, 1997
By A Customer
This review is from: Computer-Aided Multivariate Analysis, Third Edition (Hardcover)
While this book will not teach you all you need to know about any of the techniques to be an expert, it WILL teach you enough to read research, and to learn what the various techniques do. The mathematical level is moderate, and the emphasis is on practical applications. Highly recommended for grad students in the social sciences
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Perspective from the Get-Go: Technical Names for Multivariate Analysis Methods Decoded for Your Concrete Understanding, July 5, 2006
By 
Mark A. Weiss (Germantown, MD United States) - See all my reviews
(REAL NAME)   
I'm writing about the 2nd ed. (1990), but if you landed here, I think what I have is of value for later editions too. The book is fantastic. There are a myriad of technical terms for various kinds of multivariate analyses. The average person has no idea what the names mean -- or how to choose between them! To be able to DO anything (right, anyway) you need a CONCRETE understanding. Such is what this book provides. Right off the bat, the book tells you -- not only what kind of data each technique requires -- but what questions you might ask (and want answered) for such data. So, in a mere 4 pages -- near the beginning! -- you get 1 or 2 paragraphs on each of these: factor analysis, discriminant analysis, cluster analysis, multiple linear regression, principal components analysis, and more. You'll know what these techniques require as input (what kinds of data situations) and what they assume the question(s) is/are that you want answered -- already concrete, already good understanding of the differences of the formerly cryptic technique names in a mere 4 pages! I have seen no other book do this. The rest of the book is nearly as effective in the decoding of other details of the multivariate analyses. In short, start with this book, because therein you will be way way ahead in acquiring a perspective on multivariate analyses with little effort. Go to any other book(s) first and you may eventually develope a perspective -- only by accident, that is with little author help -- after a long hard road. Get your perspective from the get-go instead -- with this book.
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Inside This Book (learn more)
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First Sentence:
The expression multivariate analysis is used to describe analyses of data that are multivariate in the sense that numerous observations or variables are obtained for each individual or unit studied. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
five statistical packages, canonical variable loadings, lung function data, require strong mathematical background, hypothetical data example, nominal logistic regression, death density function, variable selection analysis, depression data, lung cancer data, linear hypothesis test, borderline depression, ordinal logistic regression, regression plane, first canonical correlation, proportional odds model, exponentiated coefficient, forward selection method, multiway tables, variable selection techniques, logistic regression programs, variable selection methods, stepwise discriminant function analysis, exploratory situations, ridge estimates
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Journal of the American Statistical Association, Continuation of Problem, Newbury Park, The American Statistician, References References, General Regression Models, Boca Raton, Quick Cluster, Thousand Oaks, Los Angeles County, Oxford University Press, Academic Press, Pacific Grove, Sage Publications, American Journal of Epidemiology, Applied Multivariate Analysis, Categorical Data Analysis, Term Coefficient Standard, Duxbury Press, Journal of the Royal Statistical Society, Long Beach, Modern Methods of Data Analysis, Parental Bonding, Prentice Hall
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