Experimental Research Questions
Statistical power in experimental research refers to the probability of correctly rejecting the null hypothesis when it is false. It measures the ability of a study to detect a true effect or relationship between variables. A study with high statistical power has a greater chance of detecting a significant effect, while a study with low power is more likely to miss a true effect and produce a false negative result. Power is influenced by factors such as sample size, effect size, significance level, and variability in the data. Researchers aim to maximize statistical power to ensure that their findings are reliable and meaningful.