Causation refers to a relationship where one event directly influences another, meaning that a change in one variable will produce a change in another. Correlation, on the other hand, describes a statistical relationship between two variables where they tend to move together but do not necessarily influence each other. Understanding the difference is crucial in political research as it helps in accurately interpreting data and establishing valid conclusions.
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