Sentence examples for moderate differences and from inspiring English sources

In addition to P-values, which are affected by sample size, effect sizes (or standardised differences) were computed: values <0.1 indicated very small differences, 0.1 0.3 small differences, 0.3 0.5 moderate differences, and >0.5 large differences (Burnand et al, 1990).

This new method is robust and effective for each mixture possessing a limited number of candidate ligands whose molar quantities have moderate differences, and its integration with PCS has promise to routinely practice the mixture-based library strategy.

Hence, this new method is practical for a mixture sample containing a limited number of candidate ligands whose molar quantities have moderate differences, and any candidate ligand whose affinity is lower than a quantified one of any other candidate ligand in the same mixture sample can be abandoned.

Our findings of increased ill-health appeared to be accompanied by a small non-significant increase in mobility limitations and ADL disability in later cohorts, since our sample had low statistical power to detect even moderate differences and the five-year interval between cross-sections is fairly short.

An effect size of 0.5 represents a moderate difference and 0.8 a large difference.

An effect size value between 0.50 and 0.80 is considered as a moderate difference, and ≥ 0.80 as substantial [ 27].

Based on Cohen's criteria, an effect size < 0.2 indicates a difference of small magnitude, 0.2 to 0.7 indicate a moderate difference and > 0.7 indicates a large difference.

An effect size of d = 0.2 was taken to indicate a small difference, d = 0.5 a moderate difference, and d = 0.8, a large one [ 18].

In addition, the standardized effect sizes (Cohen's d) were calculated to facilitate the interpretation of significant outcomes: d < 0.20 no relevant difference; d =0.20 0.30 small difference; d = 0.30 0.80 moderate difference; and d > 0.80 large difference [ 27].

Although rules of thumb - the most frequently used guide tells us that an effect size of 0.2 represents a small difference, 0.5 a moderate difference, and 0.8 a large difference [ 5] - are available, they have limitations.

Differences in component score between the exemplars and control groups were also reported as effect sizes where 0.2 0.49 represented a small difference, 0.5 0.79 represented a moderate difference and greater than 0.8 represented a large difference [ 26].