This matrix provides the number of value pairs used to calculate each correlation coefficient. In the analysis results, Prism will report whether each calculated P value is exact or approximate for Spearman correlation coefficients. If the calculation of Exact P values for Spearman correlation coefficients is interrupted (for example, canceled by pressing the "ESC" key), Prism will report approximate P values for any remaining correlation coefficients. This matrix indicates whether an exact or approximate P value was calculated for each correlation coefficient. P value type (Spearman correlation only).A two-tailed P value can be used to test if the correlation coefficient is greater or less than zero simultaneously, while a one-tailed P value can only be used to test in one direction or the other The null hypothesis in this case is that the true population correlation coefficient for a pair of variables is zero. The P value for each calculated correlation coefficient.Prism does not compute a partial correlation coefficient. This is computed for each pair of variables and doesn't not account for other variables. The correlation coefficient (Pearson or Spearman r).The results of a correlation matrix analysis appear on multiple results sheets: The result of this analysis is a correlation matrix. Instead of comparing a single pair of variables or comparing each variable with a control, you can also ask Prism to compute the correlation of each column with each other column.
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