Causal Inference in Education Research

Causal inference in education research involves determining whether a specific factor or intervention—like a new teaching method—directly causes an improvement in student learning or achievement. Researchers carefully analyze data to differentiate between correlation (two things happening together) and causation (one thing causing the other). This process helps educators and policymakers understand which strategies genuinely lead to better outcomes, enabling informed decisions that improve education quality for students.