Which statistical procedure combines data from multiple studies focusing on similar questions?

Meta-analysis is a statistical procedure that integrates findings from multiple studies that address similar research questions. It allows researchers to aggregate results from individual studies to derive more comprehensive insights and evaluate overall trends. This procedure enhances the reliability of conclusions by increasing the sample size and statistical power beyond what can be achieved in a single study. By systematically reviewing and synthesizing existing research, meta-analysis identifies patterns, discrepancies, and can reveal the effectiveness of interventions or the strength of relationships across different settings or populations.

This is particularly valuable in fields where empirical evidence can be spread across numerous studies with small sample sizes or variability in methodologies. Through meta-analysis, researchers can also assess the consistency of results, providing a clearer understanding of a phenomenon while controlling for biases that may arise in individual studies.