Using multivariate statistics

Tabachnick, Barbara G

Using multivariate statistics - 7th - New Delhi Pearson India Education Services Pvt. Ltd. 2020 - xiv, 832 p.

Table of Content
"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"

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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Multivariate analysis
Statistics

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