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Introduction to Meta Analysis

Introduction to Meta-Analysis: All You Need To Know About the Subject

Have you been given an assignment on Meta-analysis Introduction, but you don’t know what that is?

Are you tired of browsing uselessly through websites that are just wasting your time without actually giving you any information?

Then we assure you that by the time you get done with this article, you will have a clear idea what meta-analysis is.

Let’s start with the basic introduction to meta-analysis.

According to Meta-Analysis by Hunter, Jackson and Schmidt:

“Meta-analysis is a way of synthesizing previous research on a subject in order to assess what has already been learned, and even to derive new conclusions from the mass of already researched data. In opinions of many social scientists, it offers hope for a truly cumulative social scientific knowledge.”

To put it in simple terms; it is a systematic method of evaluating statistical data based on results of several independent studies of the same problem. This was developed by social scientist as they face difficulty in designing and experimenting true experiments.

The Meta analysis gives them a quantitative tool to analyze statistic data.

Why do we need Meta-analysis?

The experiments conducted by social scientist usually use a very small sample size, which is why the margin of error in their experiments is very high. This creates problem in drawing conclusions for the experiments. The use of Meta-analysis allows them to draw conclusions from a large sample size and analyze it critically, which provides a more meaningful data.

What are its advantages?

Meta-analysis is an excellent way of reducing the complexity of tests and deriving data that is useful. Meta studies are also a great way to find correlations between different studies and variables that may not be visible through traditional methods.

What are some of its disadvantages?

Because Meta studies deals with analysis of statistical data, it is restricted to quantitative studies. Meta-analysis cannot be applied to qualitative studies which limits its scope.

Another advantage is that the studies need to be planned carefully to avoid risks of skewed data. Even if one study is analyzed poorly, it can risk the authenticity of the entire Meta study.

In a nutshell, it wouldn’t be wrong to call Meta-analysis a valuable contribution to the research world. Although there are many disadvantages that need to be taken into account; it is still one of the disciplines that are fast gaining momentum in their field. Using Meta studies would mean that the researchers can finally get away from long and expensive experiments and can allocate the funds that are utilized for those experiments elsewhere.

I’m sure that you are now aware of not only what Introduction to Meta-analysis is but also of its valuable contribution in the research world. This will help you complete your assignment on the subject in no time.

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