Orthogonal rotation is a technique used in factor analysis to simplify the interpretation of factors by making them uncorrelated and preserving the total variance. This rotation helps in achieving a more interpretable structure by aligning the factor axes to be perpendicular, thereby making the data easier to analyze and understand.