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Results from a single-trial example of iDTF and iPDC connectivity estimations in the frequency domain are depicted in Fig. 2a, b, respectively, with significant values, at (alpha =0.01), represented by red solid lines.
In this process, a non-constrained CFA of one pair of constructs was compared with a constrained CFA at a time to avoid the influence of construct pairs with significant values over non-significant ones (Anderson and Gerbing, 1988).
Relationships between scale variables were assessed using Spearman's ρ, a non-parametric correlation coefficient, and where appropriate, multiple regression analyses were carried out using a stepwise method in which variables are either added or removed from the analysis until only variables with significant values are included in the model.
When signatures are analysed following the same scheme, the number of those with significant values for network parameters is unexpectedly low.
Pairwise FST with significant values given in bold.
The results are given as p-values with significant values in bold.
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Statistical significance of differences in proportions was evaluated by Chi-Square test with significant value of p < 0.05 used for all tests.
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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