Using Multivariate Statistics, 7th edition
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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.
Published by Pearson (July 14th 2021) - Copyright © 2019
Subject: Research Methods & Statistics
Category: Using Multivariate Statistics
- A Guide to Statistical Techniques: Using the Book
- Review of Univariate and Bivariate Statistics
- Cleaning Up Your Act: Screening Data Prior to Analysis
- Multiple Regression
- Analysis of Covariance
- Multivariate Analysis of Variance and Covariance
- Profile Analysis: The Multivariate Approach to Repeated Measures
- Discriminant Analysis
- Logistic Regression
- Survival/Failure Analysis
- Canonical Correlation
- Principal Components and Factor Analysis
- Structural Equation Modeling by Jodie B. Ullman
- Multilevel Linear Modeling
- Multiway Frequency Analysis
- Time-Series Analysis
- An Overview of the General Linear Model
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