Meta-analysis is a set of techniques used to correlate information coming from various studies to produce single estimates of the data under the research. It rests on the idea that the best way to determine relations between selected variables is to analyze data from several studies.
In such a way, the main advantage of meta-analysis is the consideration of studies with a larger number of studies. It results in the increased accuracy of testing and acquisition of reliable data that can be trusted. Furthermore, meta-analyses can be replicated and focus on effect size aspects rather than statistical significance.
One more strength of the given method is its ability to promote evidence-based practice, which rests on clinical findings. However, the accuracy and reliability of meta-analysis depend on the experience and skills of a meta-analyst who is responsible for correlating data and providing results. For this reason, the method has its advantages and limitations.