Experimental Research Questions
Effect size in experimental research refers to the magnitude or strength of the relationship between the independent variable (the factor being manipulated) and the dependent variable (the outcome being measured). It quantifies the practical significance or real-world impact of the experimental intervention. Effect size is typically calculated using statistical measures such as Cohen's d, which compares the mean difference between groups to the standard deviation of the data. A larger effect size indicates a stronger relationship between the variables, suggesting that the independent variable has a more substantial influence on the dependent variable. Effect size is crucial in determining the practical significance of research findings and helps researchers interpret the importance of their results beyond statistical significance.