Barbara Tabachnick,
Barbara G. Tabachnick,
Linda Fidell,
Linda S. Fidell
e.a.
Pearson Education
e druk, 2013
9781292021317
Using Multivariate Statistics
Pearson New International Edition
Specificaties
Paperback, blz.
|
Engels
Pearson Education |
e druk, 2013
ISBN13: 9781292021317
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
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
Specificaties
ISBN13:9781292021317
Taal:Engels
Bindwijze:Paperback
Uitgever:Pearson Education
Hoofdrubriek:Wetenschap en techniek, Mens en maatschappij
Inhoudsopgave
<p>In this Section:</p> <p>1. Brief Table of Contents</p> <p>2. Full Table of Contents</p> <p> </p> <u><p>1. BRIEF TABLE OF CONTENTS</p><p></p></u><p></p><p></p> <p></p> <p> </p> <p>Chapter 1 Introduction</p> <p>Chapter 2 A Guide to Statistical Techniques: Using the Book</p> <p>Chapter 3 Review of Univariate and Bivariate Statistics</p> <p>Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis</p> <p>Chapter 5 Multiple Regression</p> <p>Chapter 6 Analysis of Covariance</p> <p>Chapter 7 Multivariate Analysis of Variance and Covariance</p> <p>Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures</p> <p>Chapter 9 Discriminant Analysis</p> <p>Chapter 10 Logistic Regression</p> <p>Chapter 11 Survival/Failure Analysis</p> <p>Chapter 12 Canonical Correlation</p> <p>Chapter 13 Principal Components and Factor Analysis</p> <p>Chapter 14 Structural Equation Modeling</p> <p>Chapter 15 Multilevel Linear Modeling</p> <p>Chapter 16 Multiway Frequency Analysis</p> <p></p> <u></u> <p></p> <p><u>2. FULL TABLE OF CONTENTS</u></p> <p> </p> <p>Chapter 1: Introduction</p> <p>Multivariate Statistics: Why?</p> <p>Some Useful Definitions</p> <p>Linear Combinations of Variables</p> <p>Number and Nature of Variables to Include</p> <p>Statistical Power</p> <p>Data Appropriate for Multivariate Statistics</p> <p>Organization of the Book</p> <p> </p> <p>Chapter 2: A Guide to Statistical Techniques: Using the Book</p> <p>Research Questions and Associated Techniques</p> <p>Some Further Comparisons</p> <p>A Decision Tree</p> <p>Technique Chapters</p> <p>Preliminary Check of the Data</p> <p> </p> <p>Chapter 3: Review of Univariate and Bivariate Statistics</p> <p>Hypothesis Testing</p> <p>Analysis of Variance</p> <p>Parameter Estimation</p> <p>Effect Size</p> <p>Bivariate Statistics: Correlation and Regression.</p> <p>Chi-Square Analysis</p> <p> </p> <p>Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis</p> <p>Important Issues in Data Screening</p> <p>Complete Examples of Data Screening</p> <p> </p> <p>Chapter 5: Multiple Regression</p> <p>General Purpose and Description</p> <p>Kinds of Research Questions</p> <p>Limitations to Regression Analyses</p> <p>Fundamental Equations for Multiple Regression</p> <p>Major Types of Multiple Regression</p> <p>Some Important Issues.</p> <p>Complete Examples of Regression Analysis</p> <p>Comparison of Programs</p> <p> </p> <p>Chapter 6: Analysis of Covariance</p> <p>General Purpose and Description</p> <p>Kinds of Research Questions</p> <p>Limitations to Analysis of Covariance</p> <p>Fundamental Equations for Analysis of Covariance</p> <p>Some Important Issues</p> <p>Complete Example of Analysis of Covariance</p> <p>Comparison of Programs</p> <p> </p> <p>Chapter 7: Multivariate Analysis of Variance and Covariance</p> <p>General Purpose and Description</p> <p>Kinds of Research Questions</p> <p>Limitations to Multivariate Analysis of Variance and Covariance</p> <p>Fundamental Equations for Multivariate Analysis of Variance and Covariance</p> <p>Some Important Issues</p> <p>Complete Examples of Multivariate Analysis of Variance and Covariance</p> <p>Comparison of Programs</p> <p> </p> <p>Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures</p> <p>General Purpose and Description</p> <p>Kinds of Research Questions</p> <p>Limitations to Profile Analysis</p> <p>Fundamental Equations for Profile Analysis</p> <p>Some Important Issues</p> <p>Complete Examples of Profile Analysis</p> <p>Comparison of Programs</p> <p> </p> <p>Chapter 9: Discriminant Analysis</p> <p>General Purpose and Description</p> <p>Kinds of Research Questions</p> <p>Limitations to Discriminant Analysis</p> <p>Fundamental Equations for Discriminant Analysis</p> <p>Types of Discriminant Analysis</p> <p>Some Important Issues</p> <p>Comparison of Programs</p> <p> </p> <p>Chapter 10: Logistic Regres</p>