Understanding Correlation: Factors That Affect the Size of r

2006/04/01 by Laura D. Goodwin, Nancy L. Leech · 3 citations
Mathematics · Computer Science · Decision Sciences · #Advanced Statistical Methods and Models #Advanced Statistical Modeling Techniques #Optimal Experimental Design Methods

paper · doi:10.3200/jexe.74.3.249-266

Abstract

ABSTRACT. The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more "outliers," (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to determine whether these factors are likely affecting the correlation, as well as ways to estimate the size of the influence or reduce the influence of each.

Citations

• Thirteen Ways to Look at the Correlation Coefficient
• Thirteen Ways to Look at the Correlation Coefficient

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