Causal Inference Basics Skills Tests

Causal Inference Basics — Beginner

Foundations of cause and effect: correlation vs causation, confounding, randomization, counterfactuals, and common observational pitfalls. Mix of single-answer and multiple-answer items.

Causal Inference Basics — Intermediate

DAGs and backdoor adjustment, regression pitfalls, diff-in-diff intuition, instrumental variables, matching, and threats to validity in quasi-experiments. Mix of single-answer and multiple-answer items.

Causal Inference Basics — Advanced

Identification vs estimation, SUTVA, heterogeneous effects, mediation, double robustness, staggered DiD cautions, and design-first causal reasoning for complex product and policy settings. Mix of single-answer and multiple-answer items.