Sentence examples for differences in the explanatory from inspiring English sources

Exact(9)

To examine differences in the explanatory power of variables thought to discriminate between students who smoke and students who have reduced (or quit).

Differences in the explanatory variables between those received and did not receive colonoscopy were tested using chi-square statistic.

There were not only similarities but also differences in the explanatory factors for first and second-generation non-western women.

There are not only similarities but also differences in the explanatory factors for first and second-generation non-western women's prenatal care utilisation.

Limited dependent variable models require differences in the probabilities of choice for the various outcomes in a choice set to be associated with differences in the explanatory variables.

Differences in the explanatory models between doctors and patients about a disease can negatively influence doctor-patient relationship [ 40], and thus the treatment provision experiences of doctors.

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Similar(51)

There is a substantial difference in the explanatory power of the absolute as opposed to the relative differences in the "losing" contestants' looks on their likelihood of expulsion.

One possible response to this second example is to bite the bullet and to argue that from the point of view of fundamental physics, there really is no difference in the explanatory import of the retrodictive and predictive derivations, and that it is a virtue, not a defect, of the unificationist approach that it reproduces this judgment.

Buller argues the more general point that phenotypic plasticity of various types can be an adaptation, because it arises in various organisms as a result of natural selection.[9] The difference here between Buller (and other philosophers and biologists) and evolutionary psychologists is a difference in the explanatory scope that they attribute to natural selection.

The difference in the explanatory power of both models was significant for 'exhaustion' (p<0.001), and for 'cynicism' (p<0.001) and 'efficacy (p<0.001).

Major differences in the model explanatory power were observed mainly depending on the scale of the explanatory variable, i.e. either linear or logarithmic, whereas the differences between models with different link functions were comparatively minor (Table 1).

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