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Using Multivariate Statistics cover

Using Multivariate Statistics

by Barbara G. Tabachnick, Linda S. Fidell

7th Edition

Publisher: Pearson

(0 reviews)
Probability & Statistics

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Book Details

Print ISBN9780134790541
eText ISBN9780134792910
PublisherPearson
Publishing Year2019
Edition7th Edition
LanguageEnglish

Using Multivariate Statistics, 7th Edition, is a textbook that introduces multivariate statistical procedures for advanced undergraduate and graduate courses in social statistics. Written for students and researchers who may not be statisticians, it presents complex methods without requiring advanced mathematical training.

The text addresses foundational preparation and analytical workflows, including reviewing univariate and bivariate statistics, screening data before analysis, and selecting suitable methods. It covers core statistical procedures such as multiple regression, analysis of covariance, and multivariate analysis of variance.

Throughout the text, the authors focus on the practical benefits and constraints of each method. Readers learn when, why, and how to apply analyses while interpreting SPSS and SAS syntax and output.

Table of Contents

  1. Chapter 1: Introduction

  2. Chapter 2: A Guide to Statistical Techniques: Using the Book

  3. Chapter 3: Review of Univariate and Bivariate Statistics

  4. Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis

  5. Chapter 5: Multiple Regression

  6. Chapter 6: Analysis of Covariance

  7. Chapter 7: Multivariate Analysis of Variance and Covariance

  8. Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures

  9. Chapter 9: Discriminant Analysis

  10. Chapter 10: Logistic Regression

  11. Chapter 11: Survival/Failure Analysis

  12. Chapter 12: Canonical Correlation

  13. Chapter 13: Principal Components and Factor Analysis

  14. Chapter 14: Structural Equation Modeling by Jodie B. Ullman

  15. Chapter 15: Multilevel Linear Modeling

  16. Chapter 16: Multiway Frequency Analysis

  17. Chapter 17: An Overview of the General Linear Model

  18. Chapter 18: Time- ¿Series Analysis

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