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Statistical power in research is the likelihood of detecting a true effect. Factors like sample size, effect size, and significance level influence it. Low power

Statistical power in research is the likelihood of detecting a true effect. Factors like sample size, effect size, and significance level influence it. Low power can lead to missed effects and incorrect conclusions. To boost power, researchers can increase sample size, use reliable measures, control confounding variables, and reduce bias sources. Controls in research, like randomization and blinding, minimize variability and ensure result validity, helping isolate independent variable effects for more reliable conclusions. Write message in better detailed

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