Which of the following describes a key feature of meta-analysis?

A key feature of meta-analysis is its use of statistical methods to combine results from multiple studies. This systematic approach allows researchers to aggregate findings and evaluate the overall effect of a particular intervention or variable across diverse studies. By synthesizing data quantitatively, meta-analysis provides a more robust estimate of effect sizes, enabling researchers to draw more generalized conclusions than they could from individual studies alone.

In contrast to qualitative methods, which might focus on narrative synthesis or thematic analysis, meta-analysis provides a numerical assessment of research findings, offering increased objectivity and precision. This rigorous approach helps to overcome the limitations of individual studies, such as small sample sizes or methodological weaknesses, thereby increasing reliability and validity. Therefore, the emphasis on statistical techniques is what distinguishes meta-analysis as a powerful tool in research methodology.