发帖
雷达卡
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
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