Sentence examples for interpretations of effect from inspiring English sources

P values do not and cannot provide the information we actually want, which is a sound set of interpretations of effect sizes and their meaning to actual decision making.

Variability in the outcome of clinical trials may simply reflect different interpretations of effect sizes by authors [ 58, 59], rather than evidence of bias in trial design or greater attention to sub-grouping.

Cohen [ 39] has provided benchmarks that serve to guide the interpretations of effects size.

Interpretation of effect sizes overall indicate small to medium effects favoring the KC group on measures of cognitive flexibility and delay of gratification.

For the interpretation of effect size (ES), Cohen proposed the following classification: insignificant (ES ≤ 0.19), small (0.20 0.49), medium (0.50 0.79), large (0.80 1.29), and very large (ES ≥ 1.30).

The lack of instruments in ECEC research, the nature of pedagogy in ECEC, the autonomy given to the settings and professionals, the lack of control and the interpretation of effect sizes are highlighted as the main challenges.

Interpretation of effect size is dependent on the primary mission of P4P.

This was to ensure consistency in the interpretation of effect sizes from different studies.

In response to this need for implementation, we next discuss the various methods used to calculate effect sizes and provide guidance regarding the interpretation of effect size indices.

A conventional interpretation of effect sizes, due to Cohen, is that effect sizes of.2,.5 and.8 can be described as small, medium and large [ 19].

This is crucial for the interpretation of effect evaluations, for the development of future interventions as well as for strategies to facilitate successful implementation.