# Using Multivariate Statistics: Pearson New International Edition

## 6e édition

#### Spécifications

Éditeur
Pearson Education
Édition
6
Auteur
Barbara G. Tabachnick, Linda S. Fidell,
Langue
anglais
SOC024000 SOCIAL SCIENCE / Research > SOC027000 SOCIAL SCIENCE / Statistics
BIC subject category (UK)
JHBC Social research & statistics
Code publique Onix
05 Enseignement supérieur
Date de première publication du titre
01 novembre 2013
Subject Scheme Identifier Code
Classification thématique Thema: Recherche sociale et statistiques

#### VitalSource eBook

Date de publication
01 novembre 2013
ISBN-13
9781292034546
Ampleur
Nombre de pages de contenu principal : 1072
Code interne
1292034548
Protection technique e-livre
DRM

#### Sommaire

In this Section:

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

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