Hence, the reason why meta-analysis is helpful in research are as follows:ġ. The reassessment carried out by meta-analysis provides trends that improve decisions and subsequent research and this is why these reviews There must be a number of results for meta-analysis to occur.The basis of meta-analysis is quantitative analysis.Meta-analysis must be done systematically.Meta-analysis however follows some principles which are: Meta-analysis is designed to review the information and put it into simpler terms. Read: Systematic Errors in Research: Definition, Examples Why Meta-Analysis? Meta-analysis can be used in fields such as medical research, psychology, and other studies. This is because the validity of research is increased significantly when there are visible differences. When a researcher establishes a trend among many studies it has higher statistical significance than when the study is conducted alone. This is to detect if a common trend in all the studies. It checks whether there is substantial evidence to back up the findings of a study.Īnother aim of meta-analysis is that it analyzes all the results of previously published theses on a subject. Meta-analysis examines the strengths of the results of a study. The purpose of meta-analysis is that it seeks to determine whether an effect is present in a study and also determine whether the present effect is a positive one or a negative one. One thing meta-analysis does is review all these studies and narrow them down. It is unarguable the volume of new studies that are being published by researchers. This incident and many others are why Gene Glass demanded better data recording techniques from all statisticians. While searching for averages in the results that may provide insight on the effects of the typhoid vaccine being administered to the soldiers, all the results from the findings were mixed up. One of these cases is that of immunity and mortality in soldiers of 1904. This happened when a statistician known as Gene Glass used the word as he made a call for statisticians to find more improved ways to conclude their field research findings.įor over a century or more now, researchers have been collecting data from numerous studies regardless of the call for improved data collection techniques. The term meta-analysis was first mentioned and clearly used in the 1970s. It puts together the results from different scientific researches and analyzes them using statistical methods. Meta-analysis is a method primarily used to determine the prevalence of truth or the common differences in research with similar research questions. Have you been searching for a method where you can collate all your research findings and analyze them statistically? If yes, have you considered meta-analysis? If not, grab a seat as we go through the concept of meta-analysis, what it can be used for, and how you can use it to improve how you collect data as a researcher/investigator.Īlright, to begin with, what is a meta-analysis? What is a meta-analysis?
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