Difference between revisions of "Pearson r"
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| + | Note: Pearson r scores cannot exceed 1.00 or -1.00 (range is between -1.00 and 1.00). | ||
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| + | The Pearson r score (say for example .80) is the number where the distribution will peak, and the remaining distribution will spread out around the number. | ||
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| + | Contribution by: Mykal Kuslis, WCSU Cohort 8 | ||
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| + | Reference: | ||
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| + | Meyers, S., Gamst, G., & Guarino, A.J. (2017). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: Sage Publications. (P. 21) | ||
Revision as of 07:17, 17 November 2019
Also known as Pearson's product-moment correlation. This technique is used to correlate the raw scores of two variables.
Also visit http://psych.csufresno.edu/psy144/Content/Statistics/relationship_strength.html for more information on Pearson r.
contributed by Kara Kunst
Also referred to as the Pearson Correlation Coefficient Squared, it is the proportion of variance in the criterion variable that can be accounted for by the predictor variable. (from Dr. Nancy Heilbronner)
"contributed by Mary Fernand"
Note: Pearson r scores cannot exceed 1.00 or -1.00 (range is between -1.00 and 1.00).
The Pearson r score (say for example .80) is the number where the distribution will peak, and the remaining distribution will spread out around the number.
Contribution by: Mykal Kuslis, WCSU Cohort 8
Reference:
Meyers, S., Gamst, G., & Guarino, A.J. (2017). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: Sage Publications. (P. 21)
