The statistical technique of summarizes findings from many different studies.

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Meta-analysis is a statistical technique that combines data from multiple studies to produce a single quantitative estimate of the overall effect size or relationship between variables. It is used to synthesize the findings from many different studies conducted on a particular research question or topic. It helps to increase statistical power, identify sources of variation and consistency across studies, and provide more precise estimates of effect sizes. A meta-analysis can be qualitative, but it is more commonly quantitative (i.e., using statistical methods to quantify the magnitude of the effects across studies). Factor analysis is a statistical technique used to identify underlying factors or dimensions that explain the patterns of correlations among a set of variables. Gender analysis is a method of examining gender issues and differences in policies, programs, and practices.

The Statistical Technique of Summarizes Findings from Many Different Studies