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Using Multivariate Statistics

Using Multivariate Statistics

Author(s):
  • Barbara G Tabachnick
  • Linda S Fidell
  • Author: Barbara G Tabachnick
    • ISBN:9789352861750
    • 10 Digit ISBN:9352861752
    • Price:Rs. 799.00
    • Pages:1064
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


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    Using Multivariate Statistics, 6th edition provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. This text's practical approach focuses on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it.Upon completing this book, readers should be able to:

    Learn to conduct numerous types of multivariate statistical analyses

    Find the best technique to use

    Understand Limitations to applications

    Learn how to use SPSS and SAS syntax and output



     

    Table of Content

    Chapter 1 Introduction
    Chapter 2 A Guide to Statistical Techniques: Using the Book
    Chapter 3 Review of Univariate and Bivariate Statistics
    Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis
    Chapter 5 Multiple Regression
    Chapter 6 Analysis of Covariance
    Chapter 7 Multivariate Analysis of Variance and Covariance
    Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures
    Chapter 9 Discriminant Analysis
    Chapter 10  Logistic Regression
    Chapter 11  Survival/Failure Analysis
    Chapter 12  Canonical Correlation
    Chapter 13  Principal Components and Factor Analysis
    Chapter 14  Structural Equation Modeling
    Chapter 15  Multilevel Linear Modeling
    Chapter 16  Multiway Frequency Analysis
     

    Salient Features

    Provides hands on guidelines for conducting numerous types of multivariate statistical analyses
    Maintains a practical approach, still focusing on the benefits and limitations of applications of a technique to a data set — when, why, and how to do it
    Presents a comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.