Effect sizes from different studies should measure the same phenomenon.To ensure selection of appropriate effect size: They involve events or non-events or mean and standard deviation or other, where the measure of effect size also changes. This is important because different studies generate different datasets of variable nature. It will help to understand and choose appropriate effect size measure for analyzing data. The article will introduce the concept of different effect size measures. For any given study the effect size cannot be constrained to a single index or measure. It is the magnitude or size of an effect and usually refers to treatment effect in comprehensive meta analysis (CMA). The discussion surrounding meta analysis has effect size at the prime spot. Yashika Kapoor and Priya Chetty on October 31, 2017
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