Sentence examples for multiple correlations were from inspiring English sources
As can be seen in Tables 1 and 2, the two multiple correlations were both significant for eleven of the twelve subjects.
Multiple correlations were found among biological parameters or medical data.
Multiple correlations were corrected using the Bonferroni method.
A Bonferroni adjusted alpha value of 0.008 was used as multiple correlations were performed [ 24].
Additionally, the multiple correlations were only exploratory analysis due to the limited sample sizes.
Since multiple correlations were performed, the p-values of the correlations were also FDR-corrected.
Another possible explanation for low squared multiple correlations is not a lack of factors like in the previous example, but rather a lack of high-quality items per factor (or simply a lack of items); the use of extant data in this study certainly lends credibility for this explanation.
The level of significance for the multiple correlations was corrected using the Bonferroni method.
Additional multiple correlations are given online in Additional file 1: Table S1.
Interclass correlation coefficients and coefficient of multiple correlation were used to determine within and between session reliability of peak knee flexion angle, peak internal knee extension moment, peak knee abduction angle, peak internal knee adduction moment and peak vertical ground reaction force.
The dual transducer method showed similar patterns of fascicle length change (overall mean coefficient of multiple correlation was 0.76 and 0.71 compared to extrapolate and intercept methods respectively), but reached different absolute lengths during the contractions.
