Sentence examples for correlation analyses was from inspiring English sources

Overall, one of the most significant findings to emerge from the correlation analyses was that evolutionary knowledge (measured using the CINS and the ACORNS) and acceptance of evolution (measured using the MATE) were significantly associated, with surprisingly strong r values (e.g., 0.836 and 0.830).

The statistical power for correlation analyses was above 0.8 (for r≥0.20) in all analyses, except for the EEPAVigorous.

This uncertainty persisted when correlation analyses was done with monoPRL % instead of macroPRL.

The level of statistical significance for correlation analyses was set at P < 0.01 to account for multiple comparisons.

VOI-based correlation analyses was used to compare the changes of brain metabolic connectivity according to age.

The significance level for correlation analyses was set at 0.5% alpha to adjust for the multiple comparisons without inflating Type II error.

Kriging, mapping, and correlation analyses were conducted.

For calculation of correlation coefficients, Pearson's or Spearman's correlation analyses were applied.

The correlation analyses were analyzed by the Spearman rank-order correlation.

Student's t test, one-way ANOVA and Pearson's correlation analyses were used where appropriate.

Third, correlation analyses were used to examine the relation between impulsivity and behavioral risk-taking task.