What does a meta-analysis aim to achieve?

A meta-analysis aims to combine results from multiple studies to identify overall trends and patterns that may not be evident from individual studies. By integrating data from various research efforts, meta-analysis provides a more comprehensive understanding of a specific issue or phenomenon, enhances statistical power, and allows for examination of variations in study results. This collective analysis can help establish stronger evidence for conclusions than a single study could provide.

When researchers conduct meta-analysis, they assess the quality of the studies being analyzed and apply statistical techniques to synthesize the findings. This is particularly valuable in fields where findings may be inconsistent or where individual studies may be limited by small sample sizes.

The other choices do not align with the purpose of a meta-analysis. Replicating previous studies exactly does not contribute to the synthesis of knowledge from multiple sources. Focusing on a single case study limits the breadth of data necessary for trend analysis and insights. Critiquing existing literature involves evaluating studies rather than integrating their findings.