The phrase "above the correlations" is correct and usable in written English.
It can be used when referring to information or data that is situated higher than or prior to the correlations being discussed.
Example: "In the analysis, we need to consider the factors that are above the correlations to understand the underlying trends."
Alternatives: "beyond the correlations" or "prior to the correlations".
Factor-based discriminant validity is proven if the square root of the respective AVE is above the correlations with any other related factors in the model [ 28].
Item discriminant validity was supported, and the test considered a "definite success"[ 20], if item-scale correlations, corrected for overlap, were at least two standard errors above the correlations between that item and all the other scales.
In multi-dimensional models, factor-based discriminant validity is said to hold if, for any given factor, the square root of its AVE is above the correlations with any other related factors in the model [ 37], and preferably without any confidence interval overlap.
As mentioned above, the correlations between Obesity and cancer [ 34– 36], Obesity and Psoriasis [ 37], Lung adenocarcima and S. pneumonia [ 38], and so on, have been reported by pathogenic or epidemiologic studies, although they have not been adopted by traditional disease classification systems.
For each scale, the success rate was calculated as the ratio of the number of successes to the total number of items tested; a success was counted whenever the correlations between the item and its respective scale were at least two standard errors above the correlations between the same item and the other scales.
As it was stated above, the correlation between the S1 Gaussian and the low-field component of the S2 signal allowed to combine them into a unified signal (LK1) from the anisotropic center with g||~2.075, g ⊥ ~ 1.945, ΔH = 4 мT.
If sfWeight was 0.5 or above, the correlation among group members in time spent near the predator was present, and if it was 1 or below, the correlation among group members in feeding rate was absent.
To resolve the above puzzles, the correlations for gene expression pattern and primary genomic structure are re-examined for the flowering plants Arabidopsis and rice.
In the above analysis, the correlation values are obtained individually by correlating the citation proximity and the impact of the citing publication for each citation pair.
As discussed above, the negative correlation is the result of accrual accounting.
For firebrands released from random locations within the canopy, the above correlations remain unchanged, thereby demonstrating the generality of the developed approach.
