Using Multivariate Statistics, 7th Edition
©2019 |Pearson | Available
Barbara G. Tabachnick, California State University - Northridge
Linda S. Fidell, California State University - Northridge
©2019 |Pearson | Available
For advanced undergraduate and graduate statistics courses in Social and Behavioral Sciences.
An in-depth introduction to today’s most commonly used statistical and multivariate techniques
Using Multivariate Statistics, 7th Edition presents complex statistical procedures in a way that is maximally useful and accessible to researchers who may not be statisticians. The authors’ practical approach focuses on the benefits and limitations of applying a technique to a data set — when, why, and how to do it. Only a limited knowledge of higher-level mathematics is assumed. Students using this text will learn to conduct numerous types of multivariate statistical analyses; find the best technique to use; understand limitations to applications; and learn how to use SPSS and SAS syntax and output.
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Preface is available for download in PDF format.
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2. A Guide to Statistical Techniques: Using the Book
3. Review of Univariate and Bivariate Statistics
4. Cleaning Up Your Act: Screening Data Prior to Analysis
5. Multiple Regression
6. Analysis of Covariance
7. Multivariate Analysis of Variance and Covariance
8. Profile Analysis: The Multivariate Approach to Repeated Measures
9. Discriminant Analysis
10. Logistic Regression
11. Survival/Failure Analysis
12. Canonical Correlation
13. Principal Components and Factor Analysis
14. Structural Equation Modeling by Jodie B. Ullman
15. Multilevel Linear Modeling
16. Multiway Frequency Analysis
17. Time-eries Analysis
18. An Overview of the General Linear Model
Instructor's Review Copy for Using Multivariate Statistics, 7th Edition
Tabachnick & Fidell
Data sets for Using Multivariate Statistics, 7th Edition
Fidell & Tabachnick
Instructor's Resource Manual (Download only) for Using Multivariate Statistics, 7th Edition
Tabachnick & Fidell
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Barbara G. Tabachnick is Professor Emerita of Psychology at California State University, Northridge, and co-author with Linda S. Fidell of Using Multivariate Statistics and Experimental Designs Using ANOVA. She has published over 80 articles and technical reports and participated in over 60 professional presentations, many invited. She currently presents workshops in computer applications in univariate and multivariate data analysis and has consulted in a variety of research areas, including professional ethics in and beyond academia, effects of such factors as age and substances on driving and other performance, educational computer games, effects of noise on annoyance and sleep, and fetal alcohol syndrome. She is the recipient of the 2012 Western Psychological Association Lifetime Achievement Award and a 2015 Western Psychological Association Presidential Citation.
Linda S. Fidell is Professor Emerita of Psychology at California State University, Northridge, and co-author with Barbara G. Tabachnick of Using Multivariate Statistics and Experimental Designs Using ANOVA. She has published several articles and given numerous professional presentations. She taught research design and statistics at CSUN for 32 years and retired in 2001. In 2015 she received a Western Psychological Association Presidential Citation. She now lives in Morro Bay, where she is delighted to contribute to the community.
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