Understanding Correlation Matrices
eBook - ePub

Understanding Correlation Matrices

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Understanding Correlation Matrices

About this book

Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today. A correlation matrix is more than a matrix filled with correlation coefficients. The value of one correlation in the matrix puts constraints on the values of the others, and the multivariate implications of this statement is a major theme of the volume. Alexandria Hadd and Joseph Lee Rodgers cover many features of correlations matrices including statistical hypothesis tests, their role in factor analysis and structural equation modeling, and graphical approaches. They illustrate the discussion with a wide range of lively examples including correlations between intelligence measured at different ages through adolescence; correlations between country characteristics such as public health expenditures, health life expectancy, and adult mortality; correlations between well-being and state-level vital statistics; correlations between the racial composition of cities and professional sports teams; and correlations between childbearing intentions and childbearing outcomes over the reproductive life course. This volume may be used effectively across a number of disciplines in both undergraduate and graduate statistics classrooms, and also in the research laboratory.

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Yes, you can access Understanding Correlation Matrices by Alexandria Hadd,Joseph Lee Rodgers in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Series Editor’s Introduction
  8. Preface
  9. Acknowledgments
  10. About the Authors
  11. Chapter 1 Introduction
  12. Chapter 2 The Mathematics of Correlation Matrices
  13. Chapter 3 Statistical Hypothesis Testing on Correlation Matrices
  14. Chapter 4 Methods for Correlation/Covariance Matrices as the Input Data
  15. Chapter 5 Graphing Correlation Matrices
  16. Chapter 6 The Geometry of Correlation Matrices
  17. Chapter 7 Conclusion
  18. References
  19. Index