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Effect Size Explained: Meaning, Interpretation, and Research Importance
In quantitative research, statistical significance tells us whether an observed effect is unlikely to be due to chance. However, statistical significance does not tell us how large or meaningful that effect is. Effect size addresses this limitation. It provides a measure of the magnitude of a relationship or difference, helping researchers interpret practical and theoretical…
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Statistical Power Explained: Meaning, Logic, and Examples
In hypothesis testing, researchers make decisions under uncertainty. While Type I and Type II errors describe how those decisions can be wrong, statistical power addresses a different but closely related question: How capable is a study of detecting real effects when they exist? Statistical power is a central concept in quantitative research because it links…