Making a causal inference from quasi-experimental evidence requires all but which of the following:
A) the suspected cause must covary with the effect
B) the suspected cause must precede the effect
C) rival hypotheses must be ruled out or be highly implausible.
D) Bayesian moving average statistical analyses.

Question

Quizplus · Accepted Answer

Bayesian moving average statistical analyses are not a requirement for making a causal inference from quasi-experimental evidence. The key requirements include covariation between cause and effect, temporal precedence of the cause before the effect, and ruling out alternative explanations. Bayesian methods are a statistical approach that can be used in various contexts but are not a necessity for establishing causality in quasi-experimental designs.

Making a Causal Inference from Quasi-Experimental Evidence Requires All but Which