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For the coherent condition, the pattern of correlations shows that early TPO activity (T2 and T3) was correlated with mOFC activity at T5.
Further, the same pattern of correlations should exist between traits within each method.
Also, the pattern of correlations between WISE-Q scores and other constructs was in line with predictions.
For SUVR, whilst the overall pattern of correlations was similar, R2 was reduced (hippocampus: R2SUVR = 0.58, thalamus: R2SUVR = 0.46 and amygdala: R2SUVR = 0.57).
Factor analyses of the remaining items helped discern what underlying factors, or scales, explained the pattern of correlations that existed among the items.
The pattern of correlations between dimensions was only moderately consistent with the expectations, especially in the short version (18REST) of the inventory.
The pattern of correlations was very similar in the two studies: positive correlations between the SWBQ personal factor and all PWBS factors.
The 2-item variants of the global health scales had the same pattern of correlations with other measures but they tended to be slightly smaller in magnitude.
The most direct way to examine this is to look at the pattern of correlations between both: i.e. to compare tables 5 and 6.
When reward is omitted, there is a consistent pattern of correlations between the times at which animals start and stop responding.
For P1, the pattern of correlations shifts with development.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com