Examples of using Effect size in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Effect size is nice.
We call this effect size.
The effect sizes were calculated using Cohen's d.
Third, the effect size in this experiment was very small;
Calculate and report the effect size.
Know that effect size is important.
Other reviews have found an effect size of .78-.
That means the effect size in this case is very large.
When possible, include some statistical estimate of effect size.
We also need to consider the effect size of the interventions.
In fact,it's so important that a meta-analysis of self-confidence and sports performance found an effect size of.
Overall ISTDP had an effect size of 1.18 compared to no treatment.
At the same time over-regularization needs to be avoided, so that effect sizes remain stable.
This can include reporting effect size, confidence intervals, and standard errors.
The authors suggest that the original studies are likely to have contained both false positives andinflated effect sizes.
G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.
In every meta-analysis you start with the published summary data for each study andcompute the treatment effect(or effect size).
Hence, our approach of combining effect sizes corresponds to a random-effects model in meta-analysis[25].
Most of the studies demonstrated a positive effect of omega-3 PUFAs on anxiety,even though not all effect sizes were significant.
Cohen's d was then calculated to understand the effect size of categorizing the data into the four quartiles.
The treatment effect size for EFT was 2.96, indicating a very large effect from PTSD treatment using this type of therapy.
It also shows how large appropriate clinical trials need to be to have enoughstatistical power to be able to detect such an effect size.
(B) Linear discriminant analysis(LDA) coupled with the effect size measurements identifies the significant abundance of data in A.
That is the effect size using odds ratio[18], confidence interval at 95%gt;1, was used in order to draw conclusions about a systematic RAE.
For each policy, literature was reviewed from January 2000-July 2012 to find evidence of effectiveness andto create average effect sizes.
Note that for some combinations of allele frequency and effect size, the required minimum number of individuals for detecting association exceeds 100 million.
Finally, we used meta-regressionanalysis to investigate statistical associations between summary effect sizes and variant study, intervention or participant characteristics.
The studies that showed the most success(i.e., larger effect sizes) incorporated specific game design elements, including collaboration, competition, role playing, and exploration and discovery.