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Answer :
Effect size is an important tool for making sense of research results because it provides a quantitative measure of the magnitude or strength of the observed relationship or difference between variables.
It helps to determine the practical significance or real-world importance of the findings beyond just statistical significance. Here are some reasons why effect size is valuable in interpreting research results: Magnitude of the effect: Effect size allows researchers to assess the size or extent of the effect or relationship between variables. It provides a standardized metric that can be compared across different studies or contexts. This helps researchers and readers understand the practical significance of the findings. Statistical power: Effect size is directly related to statistical power. Larger effect sizes increase the power to detect significant findings in a study. By considering effect size, researchers can evaluate whether the sample size used in the study was adequate to detect meaningful effects. Meta-analysis and generalization: Effect sizes are crucial in meta-analysis, which combines results from multiple studies to provide a comprehensive summary of the research evidence. Effect sizes enable researchers to combine and compare findings across studies, allowing for a more robust and accurate understanding of the overall effect. Interpretation and communication: Effect size provides a meaningful and easily interpretable measure of the strength of the relationship or difference between variables. It helps researchers and readers communicate and understand the practical implications of the findings in a more accessible way.
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