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The data also reveal nifD substitution rate variation between cluster I and cluster III diazotrophs.
This dissimilarity in variation between cluster A and B for PFGE patterns is in agreement with the difference in number of distinct MLVA profiles in cluster A and B, 18 and 7 MLVA profiles, respectively, but contrasts with phage typing results, as in each cluster, 12 distinct phage types were identified.
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We assumed a coefficient of variation between clusters of 0.12.
This intra-cluster correlation leads to increased variation between clusters compared to the variation within clusters.
In this regard, variation between clusters would be ignorable as compared to variation between individual students.
MOR quantifies the variation between clusters by comparing two 'identical' persons from two randomly chosen, but different clusters.
An RICC of 0 indicates that the variance in the measurements is not due to variation between clusters.
The variation between clusters within study areas suggests that health messages have been received differently in different communities.
As a consequence, the proportion of variation between clusters than within clusters increases, which effectively increases the design effect required to correct for cluster sample designs.
Even so, less than 50% of the total variation can be explained by the PCoA, indicating the variation between clusters (or between regions) is relatively small.
The ICC for a particular outcome can be described as the amount of variation in the dataset that can be explained by the variation between clusters.
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