Assumptions Underlying the Tests

Assumptions Underlying the Pearson Correlation Coefficient

  • Interval-level measurement. Both the predictor and criterion variables should be assessed on an interval- or ratio-level of measurement.

  • Random sampling. Each participant in the file will contribute one score on the predictor variable, and one score on the criterion variable. These pairs of scores should represent a random sample drawn from the population of interest.

  • Linearity. The relationship between the criterion and predictor variables should be linear. This means that the mean criterion scores at each value of the predictor variable should fall on a straight line. The Pearson correlation coefficient is not appropriate for assessing the strength of ...

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