Cross-sectional: data collected at one point in time across a population (cheap and fast; cannot establish temporal sequence or causality). Longitudinal: same subjects measured repeatedly over time (allows analysis of within-subject change, supports temporal-sequence inferences). Longitudinal designs are NECESSARY for causal claims but not SUFFICIENT — without randomization or robust confounding control, observational longitudinal studies still face confounding, selection, and reverse-causation threats.