Why Are Experimental Designs Generally Better for Making Causal Inference

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The Answer is A nonexperimental design is a strategy for collecting information and data that will be used to test hypotheses and, if possible, make causal inferences. Such a design is characterized by at least one of the following: presence of a single group, lack of control over the assignment of subjects to groups, lack of control over the application of the independent variable, or inability to measure the dependent variable before and after exposure to the independent variable occurs. Because of these factors, causal inferences made using nonexperimental designs are not as strong as those possible through the classical randomized controlled experiment.

Why Are Experimental Designs Generally Better for Making Causal Inference

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