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In this study, we calculated only the weighted in- and out-degree centralities for all nodes in the different livelihood landscapes, whereas we used both binary and weighted links for the density and centralization calculations (see below).
Given this uncertainty, both binary and weighted versions of applicable metrics were included in the analyses.
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We calculated both network density and network centralization for binary and weighted networks.
Agreement was evaluated using kappa (binary) and weighted kappa (hierarchical).
Various centrality indices provide a rich toolkit for quantifying the non-local neighborhood of graph nodes in directed and undirected (symmetrical), binary and weighted as well as signed and unsigned networks.
However, the distinction between the binary and weighted versions of these metrics cannot be easily interpreted in terms of any biological significance in this study, due to the high degree of correlation between the two metrics (P < 0.001).
Both binary and continuous traits were simulated.
If a respondent was unable to be contacted during this 2 week window they were deemed to be unavailable and their initial field test was deleted.[ 11] Test-retest reliability and validity were estimated by Cohen's kappa statistic for binary variables, and weighted kappa with Cicchetti-Allison weights for ordinal variables.
The non-categorical variables were converted into binary variables and weighted.
We also calculated simple (for binary response) and weighted (for ordinal response) kappa statistics for each question [ 17, 18].
Figure 1 provides the kappa values (binary items) and weighted kappa values for the total sample, including all tested instruments.
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