Hello!
I have carried out my undergraduate research project using two pre-validated, Likert scale self report questionnaires looking at emotional intelligence and resilience. (SSEIT and BRCS).
Carrying out Bivariate analysis using Pearson's which shows a strong positive correlation
(r =.80, p =
I think the easiest and most effective way to resolve your confusion would be to look at a scatter plot, which would show you how the scores on one variable shift as you move up or down on the other variable.
Pearson's correlation coefficient only indicates the strength of the linear association, not the rate of change between X and Y. In other words, a strong, positive correlation coefficient does not imply where individuals fall on each respective scale, only that the scores trend in the same direction and closely approximate a straight line.
The regression coefficient (slope) will give you more useful information, since it reflects the change in Y for every unit increase in X. As it happens, the beta/standardized coefficient is equal to Pearson's correlation coefficient. Thus, you could interpret your data this way:
For every 1 standard deviation increase in emotional intelligence, resilience increases by 0.8 standard deviations.
Blaine Tomkins Thank you for taking the time to answer, that helps a lot :)
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