Using Multivariate Statistics: Pearson New International Edition

Series
Pearson
Author
Barbara G. Tabachnick / Linda S. Fidell  
Publisher
Pearson
Cover
Softcover
Edition
6
Language
English
Total pages
1060
Pub.-date
July 2013
ISBN13
9781292021317
ISBN
1292021314
Related Titles


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9781292021317
Using Multivariate Statistics: Pearson New International Edition
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Description

A Practical Approach to using Multivariate Analyses

 

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.

 

Learning Goals

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

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.
  • Datasets available at www.pearsonhighered.com/tabachnick
  • MySearchLab with eText can be packaged with this text.
    • MySearchLab provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals.
    • eText – Just like the printed text, you can highlight and add notes to the eText or download it to your iPad.
    • Assessment – Chapter quizzes and flashcards offer immediate feedback and report directly to your gradebook.
    • Writing and Research – A wide range of writing, grammar and research tools and access to a variety of academic journals, census data, Associated Press newsfeeds, and discipline-specific readings help you hone your writing and research skills.

New to this Edition

  • Six New Technique Chapters
    • Logistics Regression
    • Survival/ failure analysis
    • Structural equation modeling
    • Multilevel linear modeling
    • Multiway frequency analysis
    • Time series analysis
  • Examples from the literature have been updated in all technique chapters.
  • Latest SPSS (Version 19) and SAS (Version 9.2) syntax and output.
  • Added commonality analysis to Multiple Regression chapter.
  • Updated sample size considerations in Multiple Regression chapter.
  • Updated sample size considerations in Factor analysis chapter.
  • Complete example of Factor Analysis redone.
  • Expanded discussion of classification issues In Logistic Regression, including receiver operating characteristics.

Table of Contents

In this Section:

1. Brief Table of Contents

2. Full Table of Contents

 

1. BRIEF TABLE OF CONTENTS

 

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

2. FULL TABLE OF CONTENTS

 

Chapter 1: Introduction

Multivariate Statistics: Why?

Some Useful Definitions

Linear Combinations of Variables

Number and Nature of Variables to Include

Statistical Power

Data Appropriate for Multivariate Statistics

Organization of the Book

 

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

Research Questions and Associated Techniques

Some Further Comparisons

A Decision Tree

Technique Chapters

Preliminary Check of the Data

 

Chapter 3: Review of Univariate and Bivariate Statistics

Hypothesis Testing

Analysis of Variance

Parameter Estimation

Effect Size

Bivariate Statistics: Correlation and Regression.

Chi-Square Analysis

 

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

Important Issues in Data Screening

Complete Examples of Data Screening

 

Chapter 5: Multiple Regression

General Purpose and Description

Kinds of Research Questions

Limitations to Regression Analyses

Fundamental Equations for Multiple Regression

Major Types of Multiple Regression

Some Important Issues.

Complete Examples of Regression Analysis

Comparison of Programs

 

Chapter 6: Analysis of Covariance

General Purpose and Description

Kinds of Research Questions

Limitations to Analysis of Covariance

Fundamental Equations for Analysis of Covariance

Some Important Issues

Complete Example of Analysis of Covariance

Comparison of Programs

 

Chapter 7: Multivariate Analysis of Variance and Covariance

General Purpose and Description

Kinds of Research Questions

Limitations to Multivariate Analysis of Variance and Covariance

Fundamental Equations for Multivariate Analysis of Variance and Covariance

Some Important Issues

Complete Examples of Multivariate Analysis of Variance and Covariance

Comparison of Programs

 

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

General Purpose and Description

Kinds of Research Questions

Limitations to Profile Analysis

Fundamental Equations for Profile Analysis

Some Important Issues

Complete Examples of Profile Analysis

Comparison of Programs

 

Chapter 9: Discriminant Analysis

General Purpose and Description

Kinds of Research Questions

Limitations to Discriminant Analysis

Fundamental Equations for Discriminant Analysis

Types of Discriminant Analysis

Some Important Issues

Comparison of Programs

 

Chapter 10: Logistic Regression

General Purpose and Description

Kinds of Research Questions

Limitations to Logistic Regression Analysis

Fundamental Equations for Logistic Regression

Types of Logistic Regression

Some Important Issues

Complete Examples of Logistic Regression

Comparison of Programs

 

Chapter 11: Survival/Failure Analysis

General Purpose and Description

Kinds of Research Questions

Limitations to Survival Analysis

Fundamental Equations for Survival Analysis

Types of Survival Analysis

Some Important Issues

Complete Example of Survival Analysis

Comparison of Programs

 

Chapter 12: Canonical Correlation

General Purpose and Description

Kinds of Research Questions

Limitations

Fundamental Equations for Canonical Correlation

Some Important Issues

Complete Example of Canonical Correlation

Comparison of Programs

 

Chapter 13: Principal Components and Factor Analysis

General Purpose and Description

Kinds of Research Questions

Limitations

Fundamental Equations for Factor Analysis

Major Types of Factor Analysis

Some Important Issues

Complete Example of FA

Comparison of Programs

 

Chapter 14: Structural Equation Modeling

General Purpose and Description

Kinds of Research Questions

Limitations to Structural Equation Modeling

Fundamental Equations for Structural Equations Modeling

Some Important Issues

Complete Examples of Structural Equation Modeling Analysis.

Comparison of Programs

 

Chapter 15: Multilevel Linear Modeling

General Purpose and Description

Kinds of Research Questions

Limitations to Multilevel Linear Modeling

Fundamental Equations

Types of MLM

Some Important Issues

Complete Example of MLM

Comparison of Programs

 

Chapter 16: Multiway Frequency Analysis

General Purpose and Description

Kinds of Research Questions

Limitations to Multiway Frequency Analysis

Fundamental Equations for Multiway Frequency Analysis

Some Important Issues

Complete Example of Multiway Frequency Analysis

Comparison of Programs