Assess graduate students' basic understanding of the difference between correlation and causation in social science research, including clear definitions, identification of spurious correlations, recognition of common threats to causal inference (confounding, reverse causality, selection bias), distinctions between observational and experimental evidence, and appropriate cautious language for interpreting results; scope is introductory conceptual recall and interpretation using simple examples rather than formal statistical or graphical causal modeling.