Effect size refers to:
A) how strongly the values of one variable affect the values of another variable.
B) the mathematical probability that a relationship between variables within a sample may have been caused by sampling error.
C) the likelihood that design flaws may have produced a relationship between variables within a research sample.
D) the ability of a statistical analysis to detect a true relationship between variables.

Question

Quizplus · Accepted Answer

Effect size refers to the magnitude of the difference between two groups or the strength of the relationship between two variables. It is a measure of how strongly one variable affects the values of another variable.

Effect Size Refers To