The role of effect size and significance test in research design and analysis

H.a Elsayir ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 287-295

Abstract: Effect size is a straightforward method for measuring the difference between two groups and plays a critical role in research design and significance testing. This paper addresses the concept of effect size, explaining what it is, how it is calculated, and how it can be interpreted. It also explores related topics, such as statistical significance, meta-analysis, and power analysis. Effect sizes can be understood in the context of confidence intervals, which provide similar information to statistical significance tests but focus more on the magnitude of the effect rather than the size of the sample.

Keywords: Cohen’s d; confidence interval; Effect Size; Meta-analysis; Significance Test. (search for similar items in EconPapers)
Date: 2024
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