Using Multivariate Statistics: Pearson New International Edition (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
1072
Utgivningsdatum
2013-07-23
Upplaga
6
Förlag
Pearson
Medarbetare
Fidell, Linda S.
Illustratör/Fotograf
Illustrations
Illustrationer
Illustrationsstrations (black and white)
Dimensioner
275 x 215 x 30 mm
Vikt
2080 g
Antal komponenter
1
ISBN
9781292021317
Using Multivariate Statistics: Pearson New International Edition (häftad)

Using Multivariate Statistics: Pearson New International Edition

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Häftad Engelska, 2013-07-23
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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 texts 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
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Innehållsförteckning

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...