What does a meta-analysis accomplish in research?

A meta-analysis functions as a powerful statistical tool that synthesizes data from multiple independent studies to draw broader conclusions about a specific research question or hypothesis. By pooling results, a meta-analysis can identify patterns, trends, or effects that may not be apparent in individual studies due to variations in sample sizes, methodologies, or contexts. This aggregation enhances the robustness of findings, allowing researchers to make more informed decisions or recommendations based on a larger body of evidence.

In contrast to other research approaches, a meta-analysis does not focus on individual case studies or provide critiques of methodologies, nor does it summarize a single study's findings. Instead, it seeks to present a comprehensive view of existing research by analyzing the collective data. This makes it an essential component of evidence-based practice, as it consolidates findings from different studies to inform ongoing research and practical applications.