Sentence examples for size of relationships from inspiring English sources

These analyses are exploratory and designed to estimate the effect size of relationships between FM status and balance.

If the true effect size of relationships between network connectivity and cognition is likely to be r≈0.25 or less, this implies that detection of such effects with one-tailed α=.05 and power of (1−β)=0.80 requires a sample size of 97 or larger, assuming no multiple comparisons will be conducted [see also (Biswal et al., 2010)].

Due to the small sample size, exploration of relationships between rating scales was limited to the determination of bivariate correlation coefficients.

Although corrections for multiple comparisons for these correlations were not applied, the size effect of relationships (r values) between the important variables can still be used for interpretation of the findings.

Amphibian abundance was positively correlated with basal area of upland conifers but negatively correlated with presence and size of hardwoods, relationships that appeared to be partially influenced by previous stand management.

Further increasing the epoch size from 20 to 60 s does not increase the size of the relationships observed.

Strategic gambling (as opposed to non-strategic) was significantly associated with clinical outcomes, but the effect size of the relationships was small.

To evaluate the direction and size of any relationships in quantitative studies, standardised effect sizes were calculated when sufficient information was available to do so and an overall summary figure calculated (Field, 2005, p. 192).

The highest GD and psychopathological scores were associated with greater education level, being married or living in couple, and preference for strategic games, but the effect size of the relationships was small.> -wrap-foot> Beta-coefficients in multiple regressions.

The effect size of the relationship can be interpreted as meaningful.

We conducted two meta-analyses in order to assess the effect size of the relationship between predictions and emotions.