Trim the data: Delete a certain quantity of scores from the extremes. Winsorizing: Substitute outliers with the highest value that isn’t an outlier. Apply a robust estimation method: A common approach is to use bootstrapping. Transform the data: Apply a mathematical function to scores to correct problems.
