Only causal designs are truly appropriate for inferring cause-and-effect relationships.

Question

Quizplus · Accepted Answer

Causal designs involve manipulating an independent variable and measuring its effect on a dependent variable to establish cause-and-effect relationships. While correlational designs may show an association between variables, they cannot establish causality. Therefore, only causal designs are appropriate for inferring cause-and-effect relationships.

Only Causal Designs Are Truly Appropriate for Inferring Cause-And-Effect Relationships