What does a large effect size indicate about the relationship between two variables?

What does a large effect size indicate about the relationship between two variables?

• A. The relationship is weak and not important
• B. The independent variable has a strong impact on the dependent variable
• C. The result has no significance
• D. The variables are unrelated

Answer: (B)

A large effect size indicates that the independent variable has a strong impact on the dependent variable. In statistical analyses, effect size measures the magnitude of the difference or the strength of the relationship between variables. When the effect size is large, it suggests that changes in the independent variable lead to substantial changes in the dependent variable. This has important implications for research findings, as it can help researchers and practitioners understand the practical significance of their results beyond merely detecting a statistically significant difference. Understanding effect size is crucial in the field of psychology, as it guides intervention strategies and the overall understanding of the phenomena being studied.

A large effect size indicates that the independent variable has a strong impact on the dependent variable. In statistical analyses, effect size measures the magnitude of the difference or the strength of the relationship between variables. When the effect size is large, it suggests that changes in the independent variable lead to substantial changes in the dependent variable. This has important implications for research findings, as it can help researchers and practitioners understand the practical significance of their results beyond merely detecting a statistically significant difference. Understanding effect size is crucial in the field of psychology, as it guides intervention strategies and the overall understanding of the phenomena being studied.