Using Multivariate Statistics, 7th Edition
Barbara G. Tabachnick, California State University - Northridge
Linda S. Fidell, California State University - Northridge
©2019 | Pearson

这是一本社会科学研究的经典作品。今年刚刚推出第七版。值得各位关注。

Overview
Description
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.

Table of Contents
1. Introduction

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--Series Analysis

18. An Overview of the General Linear Model