Correlation (Free Access)

Correlation

If data is normally distributed (Parametric) conduct Pearsonâ€™s correlation,

For not normally distributed data (Non-Parametric) conduct Spearmanâ€™s rank correlation

• For both, the following steps are to be followed:
• Analyze
• Correlate
• Bivariate/Partial/Distances
• Bivariate for continuous variables
• Partial for one continuous and another dichotomous variable
• Move the variables to the variables tab
• Select the type of correlations
• Check the output table

Output:

• Sig. indicates whether the score would be correct 95% of the time for this sample or 99%.
• If Sig. score is less than <0.05, it indicates,  the scores are significant at 95% confidence interval
• If Sig. score is less than <0.01, it indicates  that the data is significant at 99% confidence interval
• Once, significance is established, the Pearson/Spearman correlation score becomes important. That score indicates the strength of the relationship.
• Scores closer to +/- 1 are strong and closer to 0 are weak. The scores can only be between -1 to +1