Abstract
Pearson’s correlation coefficient, ρ, introduced in Chapter 6, is ubiquitous in applied research. It is employed even more than the least-squares estimate of the slope of a regression line and often is the lone tool used to detect and describe an association between two variables. As is evident from results covered in previous chapters, the estimate of ρ, r, can miss important associ- ations. And even if the value of ρ could be determined exactly, its value can be relatively unrevealing. The goal in this chapter is to introduce some new tools for detecting and describing the association between variables that deal with some of the practical problems associated with r. But first we look more closely at how r and ρ are interpreted and the features of data that influence their values.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Wilcox, R.R. (2010). Measures Of Association. In: Fundamentals of Modern Statistical Methods. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5525-8_10
Download citation
DOI: https://doi.org/10.1007/978-1-4419-5525-8_10
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-5524-1
Online ISBN: 978-1-4419-5525-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)