What is a meta-analysis?

A meta-analysis is a statistical technique that allows researchers to combine and synthesize results from multiple studies. By aggregating data from various research efforts, meta-analysis helps to identify overall trends, assess the strength of particular effects, and derive broader conclusions that may not be visible in individual studies alone. This approach enhances the statistical power and reliability of findings by increasing the sample size and allowing for a more nuanced understanding of the research question across different contexts.

In contrast, summarizing personal experiences related to a study does not involve statistical analysis and is more subjective than the systematic integration of empirical data that characterizes a meta-analysis. The method of collecting qualitative data through interviews focuses on gathering in-depth information from individuals rather than analyzing quantitative data from various studies. Comparing different research methods does not involve synthesizing or analyzing results; instead, it assesses the relative strengths and weaknesses of various methodologies without combining data. Thus, the core principle of meta-analysis is its ability to statistically evaluate and compile findings from numerous studies, providing more robust insights into a given topic.