Question: QUANTITATIVE DATA ANALYSIS A researcher finds that the correlation between income and a scale measuring interest in work is 0.55 (Pearson's r) which is non-significant

QUANTITATIVE DATA ANALYSIS

A researcher finds that the correlation between income and a scale measuring interest in work is 0.55 (Pearson's r) which is non-significant since p is greater than 0.05. This finding is compared to another study sing the same variables and measures which found the correlation to be 0.46 and p < 0.001. How could this contrast arise? In other words, how could the larger correlation be non-significant and the smaller correlation be significant?

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