What is meant by meta-analysis in research?
Meta-analysis is a quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research. Typically, but not necessarily, the study is based on randomized, controlled clinical trials.
Why is it called a meta-analysis?
In 1976, one of them, Gene Glass, coined the term ‘meta-analysis’ to refer to ‘the statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings.
What is a meta-analysis and how is it conducted?
Meta analysis is essentially systematic review; however, in addition to narrative summary that is conducted in systematic review, in meta analysis, the analysts also numerically pool the results of the studies and arrive at a summary estimate.
What is the importance of meta-analysis?
A meta-analysis provides more robust results that can help psychology researchers better understand the magnitude of an effect. A meta-analysis provides important conclusions and trends that can influence future research, policy-makers’ decisions, and how patients receive care.
What is meta-analysis and example?
Meta-analysis refers to the statistical analysis of the data from independent primary studies focused on the same question, which aims to generate a quantitative estimate of the studied phenomenon, for example, the effectiveness of the intervention (Gopalakrishnan and Ganeshkumar, 2013).
Is meta-analysis qualitative or quantitative?
quantitative
Meta-analysis is a quantitative method that uses and synthesizes data from multiple individual studies to arrive at one or more conclusions. Meta-synthesis is another method that analyzes and combines data from multiple qualitative studies.
What is another word for meta-analysis?
This is reflected in the variety of terms and definitions for synonym circumstances, e.g. “meta-analysis”, “systematic review”, “narrative review”, “meta-syntheses”.
What is an example of meta-analysis?
For example, if there are two groups of patients experiencing different treatment effects studies in two randomised control trials (RCTs) reporting conflicting results, the meta-analytic average is representative of neither group, similarly to averaging the weight of apples and oranges, which is neither accurate for …