Applied Statistics: From Bivariate Through Multivariate Techniques
β Scribed by Rebecca M. Warner
- Publisher
- Sage Publications, Inc
- Year
- 2012
- Tongue
- English
- Leaves
- 1164
- Edition
- 2nd Edition
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Editionprovides 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.
π SIMILAR VOLUMES
<p><b>A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences</b></p> <p>Written as a general and accessible introduction, <i>Applied Univariate, Bivariate, and Multivariate Statistics </i>provides an overview of statistic
<p><span>Rebecca M. Warnerβs bestselling </span><span>Applied Statistics: From Bivariate Through Multivariate Techniques</span><span> has been split into two volumes for ease of use over a two-course sequence. </span><span>Applied Statistics II: Multivariable and Multivariate Techniques, </span><spa