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The NRS correlated with both the OHS (Pearson correlation coefficient 0.52 (95% CI 0.46 to 0.58)) and the OKS (Pearson correlation coefficient 0.64 (95% CI 0.57 to 0.69)), indicating a large correlation.
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The majority of the correlations (i.e., 18 of 35) were r ≥.50 (indicating a large effect) and only one correlation was r ≤.30 (which indicates a less than medium-sized effect, Cohen, 1988).
Studies conducted in a similar setting have observed high intra-class correlations for MVPA (indicating a large clustering effect) [ 45, 54].
Our analysis indicates a large negative correlation value for partially melted particles and residual α occurring as splats with the process parameter the primary current of the thermal plasma.
The presence of phenotypic assortment would be indicated by a larger correlation between husband and wife than between a twin and his cotwin's spouse.
Birth weight in triplets is also influenced by genetic factors, as indicated by a larger correlation in monozygotic than in di- and trizygotic triplets.
Correlation loading vectors that point in the same or opposite direction indicate a large positive or negative correlation; correlation loading vectors that are perpendicular to each other are not correlated at all.
A large correlation value would indicate that an additional model for describing the dependency of the compartment quantities on the overall quantities would be necessary.
A large correlation between two parameter estimates (close to -1 or 1) indicates that the two parameters are weakly determinable because of their large influence on each other.
In terms of effect sizes, small associations are correlations with r between.10 and.23; a correlation between.24 and.36 shows a moderate effect, and a correlation of r > .37 indicates a large association [ 40].
These surveys indicate a large range of fire load density values, and strong correlation between fire load density, compartment area, and use.
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