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The ROD metric is a function of the geometric alignment between the domains and the Kullback Leibler divergence in data distributions between the projected source and target subspaces.
Then the divergence in data may result from the differences in the sample sizes and/or methodologies (self-rating scales versus structured interview) among studies.
3. International investigator meetings will be held (at least) twice yearly for all staff involved in data collection to detect any divergence in data collection procedures.
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Themes were then re-coded and classified, identifying common patterns and convergences and divergences in data through a process of constant comparison.
Analysis employed a constant comparative process [ 13] to identify similarities and divergences in data, supported by a dialogic collaborative process involving individual and collective meaning making [ 4].
Themes were identified, coded, re-coded and classified identifying common patterns by looking at regularities, convergences and divergences in data, through a process of constant comparisons, going back and forth between data and conceptual framework.
The changes in China have given them another stick to beat India with.Yet there are beggars in China too, and the divergence in the data is a recent phenomenon.
Understanding how recombination shapes genetic diversity across genomes is also crucial for interpreting signals of population divergence in genomic data.
The latter may explain why the amount of transgression is not a function of phenotypic divergence in our data set.
Following Akashi et al. [ 9] multiple hits were ignored, again motivated by the low levels of sequence divergence in the data set (d S < 5 – 7%).
Themes are being identified, coded, recoded and classified, identifying common patterns by looking at regularities, and convergences and divergences in the data, through a process of constant comparison, going back and forth between the data.
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