Respuesta :
The single-effect measure calculated and reported when the results from all the studies are combined is called Power analysis.
Option: B
Explanation:
Evaluation of power is an essential part of experimental setup. This helps us to assess with a certain level of confidence the sample group needed to identify an impact of a particular size. Alternatively, it helps one to assess the possibility of finding an influence of a given size with a certain confidence level, within sample size restrictions.When the likelihood is unacceptably small, it will be wise to alter the experiment or leave it.
The given four quantities are sharing a close connection in such analysis, out of which if three quantities are determined then 4th can be calculated easily:
- sample size
- effect size
- significance level = P(Type I error) = possibility of discovering an impact that is not there .
- power = 1 - P(Type II error) = possibility of discovering an impact that is there .
A meta-analysis is an overall summary of the statists that represent the invention across multiple studies.
- It tends to summarize the findings of the individual studies. Thus is in a systematic review the analysis research combines.
- The result of all sample sizes and re-runs the stats to get a good magnitude.
- Hence the option B. Power analysis is correct.
Learn more about the with a meta-analysis, researchers combine.
brainly.com/question/14188794.
