Description

Book Synopsis


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 Regres

Using Multivariate Statistics

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    A Paperback / softback by Barbara Tabachnick, Linda Fidell

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      View other formats and editions of Using Multivariate Statistics by Barbara Tabachnick

      Publisher: Pearson Education Limited
      Publication Date: 23/07/2013
      ISBN13: 9781292021317, 978-1292021317
      ISBN10: 1292021314

      Description

      Book Synopsis


      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 Regres

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