Using Multivariate Statistics: Pearson New International Edition
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A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why, and how to do it.
Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS syntax and output The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
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- Pearson International Content
- 9781292034546
- 9781292021317
- Page Fidelity (PDF)
- 6
- Barbara G. Tabachnick; Linda S. Fidell
- English
- 2013-08-27
- 100
- 2
- 2
Kaflar
- Table of Contents
- Appendix: Statistical Tables
- Appendix: Research Designs for Complete Examples
- Appendix: A Skimpy Introduction to Matrix Algebra
- 1. Introduction
- 2. A Guide to Statistical Techniques
- 3. Review of Univariate and Bivariate Statistics
- 4. Cleaning Up Your Act
- 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
- 15. Multilevel Linear Modeling
- 16. Multiway Frequency Analysis
- 17. Time-Series Analysis
- 18. An Overview of the General Linear Model
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- Y