Using Multivariate Statistics

✍ Scribed by Barbara G. Tabachnick; Linda S. Fidell; Jodie B. Ullman

• Year: 2018
• Tongue: English
• Leaves: 850
• Category: Library

✦ Synopsis

For advanced undergraduate and graduate courses in Social Statistics. 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 focus 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. 0134790545 / 9780134790541 Using Multivariate Statistics, 7/e

✦ Table of Contents

Front Cover
Title Page
Copyright
Contents
Preface
1. Introduction
2. 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. Timee-Series Analysis
18. An Overview of the General Linear Model
Appendix A: Skimpy Introduction to Matrix Algebra
Appendix B: Research Designs for Complete Examples
Appendix C: Statistical Tables
References
Index
Back Cover