A three-way interaction occurs when the effect of one independent variable on a dependent variable changes depending on the levels of two other independent variables. It reveals complex relationships in data that cannot be captured by examining two-way interactions alone, highlighting the importance of considering multiple factors simultaneously in experimental and observational studies.