Asked by Jessica Wilson on Jul 31, 2024

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Meta-analysis is useful because it

A) compares studies without the difficulties involved in statistical analysis.
B) statistically analyzes the results of many studies.
C) is simpler to use than previous methods of analyzing aggregate data.
D) ensures objective analysis of the results of multiple studies.

Meta-analysis

A statistical approach that combines the results of multiple scientific studies to identify patterns, differences, or other significant findings.

Statistical Analysis

The process of collecting, reviewing, and interpreting data to discover underlying patterns and trends.

Aggregate Data

consists of data combined from several measurements, making it possible to provide statistical analysis on a larger scale.

  • Acquire knowledge about the methods, importance, and limitations of meta-analysis in combining findings from research, specifically in the field of gender studies.
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Silke HansenAug 07, 2024
Final Answer :
B
Explanation :
Meta-analysis is a statistical analysis that combines the results of multiple studies on a particular topic. This helps to increase the sample size and statistical power, reduce bias, and provide a more accurate estimate of the effect size. Therefore, option B is the correct choice. Option A is incorrect because meta-analysis also involves statistical analysis. Option C is incorrect because meta-analysis may involve complex statistical methods. Option D is incorrect because the objectivity of a meta-analysis depends on the quality of the individual studies included in the analysis.