Sentence examples for more underlying factors from inspiring English sources

But the changes that followed elsewhere were caused by more underlying factors, some of them also visible in Iran in the "Green" protests that erupted after the "stolen" presidential election in 2009.

This landscape relates one or more underlying factors (e.g. alleles or environmental variables) to the value of the resulting phenotypic trait (phenotypic landscape; Rice 1998) or the fitness of organisms (the adaptive landscape; Wright 1932).

Classical principal components analysis (PCA) was undertaken based on the binary responses to these 18 questions (D'Agostino Snr, 2005) with the pragmatic aim of identifying items, which were well correlated and could be hypothesised to represent one or more underlying factors or constructs.

While these data are merely correlative at this point, one possibility, given the unique ability of sorafenib to inhibit system xc− among tested kinase inhibitors, is that this effect contributes to increase the chance of an adverse event in combination with one or more underlying modifying factors.

However, in Nigeria at least, the religious dimension is often superseded by, or a mask for, more complex underlying factors — elements not noted by the broad-brush, numbers-based Pew study.

This suggests that, although all of the above factors may have some relevance, more subtle underlying factors are also involved.

More broadly, the underlying factors responsible for the base melanistic plumage in B. j. harlani, and more generally, melanism in B. jamaicensis require additional study.

"We need more research on the underlying factors that might make that happen.

Further investigation of component-, project-, human-, and process-related characteristics of the development teams might reveal more insights on the underlying factors that impact the issue fix time.

The case-control design has more power to detect underlying factors than family-based design.

In second step, rotation of factors can achieve a simpler and more meaningful representation of the underlying factors by decreasing contributions to principal components by variables with minor significance and increasing the more significant ones (Razmkhah et al. 2010).