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Applied Statistics: From Bivariate Through Multivariate Techniques, by Rebecca M. Warner
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Applied Statistics: From Bivariate Through Multivariate Techniques provides a clear introduction to widely used topics in bivariate and multivariate statistics including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner presents an applied approach that does not require formal mathematics and equations are accompanied by verbal explanations.
- Sales Rank: #145501 in Books
- Brand: Brand: Sage Publications, Inc
- Published on: 2007-09-06
- Original language: English
- Number of items: 1
- Dimensions: 1.96" h x 7.22" w x 10.30" l, 3.84 pounds
- Binding: Hardcover
- 1128 pages
- Used Book in Good Condition
Review
"Excellent, practical instructional approach that does not overwhelm students with advanced math." (Leusher D. Madrid)
About the Author
Rebecca M. Warner received a B.A. from Carnegie-Mellon University in Social Relations in 1973 and a Ph.D. in Social Psychology from Harvard in 1978. She has taught statistics for more than 25 years: from Introductory and Intermediate Statistics to advanced topics seminars in Multivariate Statistics, Structural Equation Modeling, and Time Series Analysis. She is currently a Full Professor in the Department of Psychology at the University of New Hampshire. She is a Fellow in the Association for Psychological Science and a member of the American Psychological Association, the International Association for Relationships Research, the Society of Experimental Social Psychology, and the Society for Personality and Social Psychology. She has consulted on statistics and data management for the World Health Organization in Geneva and served as a visiting faculty member at Shandong Medical University in China.
Most helpful customer reviews
11 of 13 people found the following review helpful.
Bold enough to come down from the Ivory Tower
By BookWorm
I was never gifted in statistics. I can figure it out eventually, but not like some I know who naturally and effortlessly understand what the mystery is about. I was impressed by how easy it was to pick up this book and start reading without having to worry about the time it would take to go through the information I needed. If one could claim that a statistics book is an "easy read" and not look like someone who is probably involved in some deception scheme, I would take this risk for this book.
Perhaps because I am not gifted, I tend to take what I read in statistics books literally and believe them! This is partially why I was always very timid about research. My kind of research has to take place in the real world, where there are very few clear-cut blacks and whites. Most statistics books however, seem to be written in the Ivory Towers, where most things are forced to be in black-and-white categories... You know, to make the design clean. Therefore, I would often wonder what to do with my filthy design and not look like a charlatan when the results were significant. I would find myself feeling guilty because I found something exciting, when the books said I should never have touched the method I used for analysis, because the data was not clean enough. I love this book, because I finally found an author who is bold enough to come down from the Ivory Tower, discuss how sometimes you cannot have everything perfect in your design, and make suggestions for the filth my kind has to survive!
5 of 6 people found the following review helpful.
great overview of applied statistics
By Sunny
This is an excellent text. It is suitable for an advanced undergraduate or introductory graduate level methods class. There are many texts written at this level. The distinguishing feature of this text is that it is the most clearly written statistical textbook I have read. Theory is not covered, which is typical of an introductory methods course. However, the mathematical level is advanced enough so that one is simply not plugging into formulas. The text uses SPSS to analyze data. The only improvement would be if the data sets were easily available. Overall, I highly recommend this book.
4 of 5 people found the following review helpful.
Overall review from Doctoral student
By E. Tearrah Cristiani-Nguyen
Densely packed with vital information needed for stats classes from Master's level to Doctoral level. Each chapter ends with a summary and comprehensive questions. My only true critique is that the answers to the end of chapter questions are not included.
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