Having more than two levels of the independent variable is necessary to
A) detect causal relationships.
B) control for common-causal variables.
C) detect nonlinear relationships.
D) produce adequate equivalence across the conditions.

Question

Quizplus · Accepted Answer

Having more than two levels of the independent variable allows for the detection of nonlinear relationships, as it provides a more detailed view of how different levels of the variable affect the outcome. This enables researchers to observe if the effect of the independent variable on the dependent variable changes in a non-linear manner across different levels of the independent variable.

Having More Than Two Levels of the Independent Variable Is