Asked by Keenan Bhiro on May 31, 2024
Verified
_____ refers to the strength of association between variables.
A) Statistical index
B) Effect size
C) Standard deviation
D) Linear degree
Effect Size
A quantitative measure of the magnitude of the experimental effect, indicating how large the difference is between groups.
Association
A connection or relationship between two or more variables, where changes in one variable relate to changes in another.
Variables
Elements or characteristics in research that can change or vary, often categorized as dependent or independent.
- Acquire knowledge about the idea of effect size and its critical role in the analysis of statistical data.
Verified Answer
TW
tara'dawn willisMay 31, 2024
Final Answer :
B
Explanation :
Effect size refers to the magnitude or strength of the relationship between variables. It is a measure of the practical significance of results and can indicate the importance of the relationship in the context of the research question. Statistical indices such as correlation coefficients and p-values provide information about the significance of the relationship, but effect size provides additional information about the strength of the association. Standard deviation is a measure of variability, while linear degree is not a commonly used term in statistics.
Learning Objectives
- Acquire knowledge about the idea of effect size and its critical role in the analysis of statistical data.