Understanding Correlation: Factors That Affect the Size of r
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- 1 April 2006
- journal article
- Published by Taylor & Francis Ltd in The Journal of Experimental Education
- Vol. 74 (3)
- https://doi.org/10.3200/jexe.74.3.249-266
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.Keywords
This publication has 8 references indexed in Scilit:
- Score ReliabilityPublished by SAGE Publications ,2003
- Measurement myths and misconceptions.School Psychology Quarterly, 1999
- The Correction for AttenuationEducational and Psychological Measurement, 1996
- Thirteen Ways to Look at the Correlation CoefficientThe American Statistician, 1988
- PEARSON SELECTION FORMULAS: IMPLICATIONS FOR STUDIES OF PREDICTIVE BIAS AND ESTIMATES OF EDUCATIONAL EFFECTS IN SELECTED SAMPLESJournal of Educational Measurement, 1983
- Interval Estimation of Correlation Coefficients Corrected for Restriction of RangeEducational and Psychological Measurement, 1976
- The nature of the data, or how to choose a correlation coefficientPsychometrika, 1961
- Theory of mental tests.Published by American Psychological Association (APA) ,1950