A Pearson r value of .50 or higher must be significant, regardless of the sample size.

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Quizplus · Accepted Answer

This statement is false. A Pearson r value of .50 or higher does not guarantee statistical significance. Significance also depends on the sample size and the alpha level chosen for the test. A larger sample size can increase the chances of finding a significant relationship, while a smaller sample size may require a stronger correlation to reach significance. Additionally, a higher alpha level (e.g. .10 instead of .05) would increase the likelihood of finding significance, but it also increases the risk of a Type I error (i.e. false positive).

A Pearson R Value of