For educators in the workshop determine whether initial knowledge test marks is related to composite performance indicator marks based on the Pearson correlation,r. What proportion of the variance in composite performance indicator marks is predictable from initial knowledge test marks (coefficient of determination: square ofr)? How would you describe the effect size: is it small, medium, or large?

To answer the questions, obtain the Pearson correlation,r, between each of the three variables, initial knowledge test, composite performance indicator, and knowledge test given as posttest, and the long-term composite performance indicator marks. Use the significance test ofrto determine if any of them are statistically significant.

Descriptive Statistics Std . Mean Deviation N ink 67.97 11.456 101 cpi 223.24 20.956 101 Correlations ink cpi ink Pearson Correlation * * 1 .637 Sig. (2-tailed) 000 N 101 101 cpi Pearson Correlation * * .637 1 Sig. (2-tailed) 000 N 101 101 **. Correlation is significant at the 0.01 level (2-tailed).Descriptive Statistics Std. Mean Deviation N ink 67.97 11.456 101 cpi 223.24 20.956 101 p_ink 71.96 11.198 101 Correlations ink cpi p_ink ink Pearson Correlation 1 * * .637 * * 809 Sig. (2-tailed) .000 .000 N 101 101 101 cpi Pearson Correlation * * .637 1 .536 * * Sig. (2-tailed) 000 000 N 101 101 101 p_ink Pearson Correlation * * * * .809 536 1 Sig. (2-tailed) .000 .000 N 101 101 101 **. Correlation is significant at the 0.01 level (2-tailed)