Using Multivariate Statistics, 7th edition

Published by Pearson (July 14, 2021) © 2019

  • Barbara G. Tabachnick California State University - Northridge
  • Linda S. Fidell California State University - Northridge

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ISBN-13: 9780137526543 (2021 update)
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Using Multivariate Statistics offers an in-depth introduction to the most commonly used statistical and multivariate techniques. Authors Barbara Tabachnick and Linda Fidell present complex statistical procedures in an accessible manner Their practical approach focuses on the benefits and limitations of applying a technique to a data set: when, why, and how to do it. The authors guide you on how to conduct numerous types of multivariate statistical analyses, how to find the best technique to use, and how to use SPSS and SAS syntax and output.

The 7th Edition includes updated references in every chapter. The inclusion of procedures for multiple imputation of missing data allows you to keep the data set intact, despite missing data points on several variables.

  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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