PDF Ebook Applied Statistics: From Bivariate Through Multivariate Techniques, by Rebecca M. Warner
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Applied Statistics: From Bivariate Through Multivariate Techniques, by Rebecca M. Warner
PDF Ebook Applied Statistics: From Bivariate Through Multivariate Techniques, by Rebecca M. Warner
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Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition 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. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
- Sales Rank: #48264 in Books
- Published on: 2012-04-10
- Original language: English
- Number of items: 1
- Dimensions: 10.10" h x 2.40" w x 8.30" l, 4.60 pounds
- Binding: Hardcover
- 1208 pages
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
8 of 8 people found the following review helpful.
Highly recommend
By Heather
I am a research specialist for an online graduate school and we are in the process of adopting this book for our students. It really is the most comprehensive, user-friendly text on the market. Actually, this book is extremely helpful for graduate students as well as those of us who have already graduated :-) I think statistics is similar to a foreign language: use it or lose it. Of course I'll probably always remember "donde esta el bano?", just like I remember t-tests, correlations, ANOVA, regression, etc. However, the water can get murky when it comes to power analyses in certain situations, moderation/mediation, differences between discriminant analysis and binary logistic regression, and other complicated or less used tests. Warner's text is an excellent, user-friendly resource in such situations as well as when my doctoral students have random questions about their analyses. She provides relatable examples, professional write-ups, and helpful SPSS screenshots. I would highly recommend this text!
3 of 3 people found the following review helpful.
Outstanding for univariate methods, good for multivariate methods.
By Occasional Reviewer
This was my textbook for a series of 4 intermediate to advanced statistics courses in my Ph.D program. For univariate and bivariate methods, the book is outstanding with each chapter well written and easy to follow. Each chapter first walks you through the theory of the method, then you get a logical tour of the assumptions, maths and relevant equations, followed by exemplars, and finally an SPSS analysis. The coverage is deep with a focus on application over theoretical development, which is perfect for those who will depend on these statistical tools in their dissertations and research.
Where the text starts to fall short, in my opinion, is in its coverage of multivariate methods. Here the chapters are more cryptic and difficult to follow and the logic sometimes counterintuitive and hard to follow. The multivariate chapters appeared to struggle to identify the key elements of each analysis and left me often confused. Worked examples were also harder to follow. What I and many of my fellow students in the multivariate courses did was supplement this text with Tabachnick & Fidell, which is exclusively devoted to multivariate statistics and the text of choice for those methods. It does a much better job of explaining multivariate methods than Warner. Field is also another excellent supplement to both these texts. Overall, however, Warner is a great textbook.
4 of 5 people found the following review helpful.
Its a required text book for advanced inferential statistics
By Dr. That Guy
This is a great book with nice instructions for SPSS and nice examples of SPSS outputs. Its a bit long-winded, but what textbook isn't? Oh, and the appendices in the back are extremely useful...and page 208 for effect size charts.
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