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Product Description
Product Description
A new companion volume to one of APA's most successful books. Provide s easy-to-understand explanations of more multivariate statistics not covered in Reading and Understanding Multivariate Statistics. The aut hors have kept the same popular format and writing style of the first book.
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Most helpful customer reviews
5.0 out of 5 stars
Great Statistics Resource,
By Chava79 (USA) - See all my reviews
This review is from: Reading and Understanding MORE Multivariate Statistics (Paperback)
This book and its companion volume are invaluable resources if you need to understand or work with multivariate statistics. It is easy to read and I would recommend it over any of the required texts that I have had for statistics courses.
5.0 out of 5 stars
I read more - and I understood more!,
By debvh (New Jersey) - See all my reviews
This review is from: Reading and Understanding MORE Multivariate Statistics (Paperback)
Like its predecessor, "Reading and Understanding MORE Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of common multivariate analyses. This book includes special attention to scales of measurement, reliability and generalizability theory, item response theory, and assessing the validity of measurement. In addition, it covers cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analysis, and survival analysis. The authors present the conceptual underpinnings, underlying assumptions, and basic procedures for each analysis with a minimum of equations and many concrete examples. The book not teach you how to perform the analyses but does provide references for those who wish to get more detailed information. As a research scientist who doesn't always remember everything I learned in graduate statistics class, I find this book an invaluable aid keeping up with the current literature in my field and in making the most of statistical consultations. This book is ideal for anyone whose job requires them to be a "consumer" of research; for researchers who wish to further their understanding of data analysis; and as a companion text for graduate statistics classes.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
4.4 out of 5 stars (5 customer reviews) 33 of 33 people found the following review helpful
5.0 out of 5 stars
I read more - and I understood more!,
By debvh - Published on Amazon.com
This review is from: Reading and Understanding MORE Multivariate Statistics (Paperback)
Like its predecessor, "Reading and Understanding MORE Multivariate Statistics" achieves exactly what its title implies. Geared toward non-statisticians in behavioral and social science fields, this book provides clear and reasonably simple explanations of common multivariate analyses. This book includes special attention to scales of measurement, reliability and generalizability theory, item response theory, and assessing the validity of measurement. In addition, it covers cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analysis, and survival analysis. The authors present the conceptual underpinnings, underlying assumptions, and basic procedures for each analysis with a minimum of equations and many concrete examples. The book not teach you how to perform the analyses but does provide references for those who wish to get more detailed information. As a research scientist who doesn't always remember everything I learned in graduate statistics class, I find this book an invaluable aid keeping up with the current literature in my field and in making the most of statistical consultations. This book is ideal for anyone whose job requires them to be a "consumer" of research; for researchers who wish to further their understanding of data analysis; and as a companion text for graduate statistics classes.
13 of 16 people found the following review helpful
5.0 out of 5 stars
Great Statistics Resource,
By Chava79 - Published on Amazon.com
This review is from: Reading and Understanding MORE Multivariate Statistics (Paperback)
This book and its companion volume are invaluable resources if you need to understand or work with multivariate statistics. It is easy to read and I would recommend it over any of the required texts that I have had for statistics courses.
1 of 1 people found the following review helpful
3.0 out of 5 stars
Fair discussion of newer tools,
By Boris - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Reading and Understanding MORE Multivariate Statistics (Paperback)
The treatment of newer statistical tools (multivariate analyses) is covered in this book, with different authors writing the different parts. This can help to keep the material fresh, but it also gives each section a disjointed feel, as some sections are very long and comprehensive and others are quite short. The book makes a case for using newer tools such as cluster analysis in place of some other typically-used tools (e.g., discriminant analysis, factor analysis) as a fresher approach; This is fine because many dissertations and published studies are using more and more qualitative methods (or mixed methods) these days, but it should put them into context - no cluster analysis will ever be as robust as a factor analysis.
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