When two variables are related but one does not cause the other, researchers term the situation:
A) a validity.
B) an association.
C) a bias.
D) a reliability.
E) an establishment.

Question

Quizplus · Accepted Answer

When two variables are related but one does not cause the other, researchers call it an "association." This means that the two variables may be correlated or connected in some way, but there is no evidence to suggest that one variable is causing the other to change. An example of this might be the association between ice cream sales and crime rates. While these two variables may be related, it is unlikely that ice cream sales are causing crime rates to go up or down. Instead, there may be other factors at play that are influencing both variables. When two variables are related but one does not cause the other, researchers refer to this as an association. This means that the variables may be correlated or connected in some way, but one cannot be said to directly cause the other. The other choices (validity, bias, reliability, and establishment) do not accurately describe this particular situation.

When Two Variables Are Related but One Does Not Cause