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We identified six methodological sources of disagreement in how the four biomass maps were generated (Table 1).
These large correlations persisted even after eliminating several methodological sources of confounding, including question wording, question order, and negative item-wording.
Thus, we first describe the results of the metric comparisons here, and then follow with an assessment of how those comparisons should be interpreted on a pairwise basis to test potential methodological sources of error.
We introduce new morphological data for phyllostomids and outgroups and expand previous molecular analyses to eliminate methodological sources of phylogenetic conflict such as taxonomic sampling, sparse character sampling, or use of different algorithms to estimate the phylogeny.
Methodological sources of incongruence play some role in generating phylogenetic conflict, and are relatively easy to eliminate by matching taxa, collecting more characters, and applying the same algorithms to optimize phylogeny.
Our study has three objectives: (i) to match taxonomic sampling in morphological data to the molecular analyses; (ii) to control for methodological sources of incongruence by estimating phylogenies using models of character evolution with both molecular and morphological data; and (iii) to analyze the biological drivers of phylogenetic conflict across multiple data sets.
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To encompass this diversity, the methods for this review are ambitious and innovative, drawing on a number of methodological sources and with a degree of flexibility built into the design.
Details of seminal text citation in individual papers are given in Table 2.> Reviewers of a number of nursing papers (S3, S11, S24, S27) quoted Walsh and Downe [ 29] as a methodological source, however, our detailed reading of this paper did not reveal how Walsh and Downe had advanced the meta-ethnography approach in their summary and critique of the meta-ethnography methodological literature.
In order to provide some guidance in the selection of preference-based algorithms for the SF-36 and SF-12 the algorithms were appraised in the context of their theoretical and methodological foundations, source of community-based preferences, and their relative potential to enhance or deter the uptake of new technology.
Multiple methodological constraints and sources of variance have limited the resolution of electrophysiological experiments.
Methodological and clinical sources of heterogeneity contribute to the magnitude and presence of statistical heterogeneity [ 1].
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