Data Completeness: Ensuring that all potential outcomes are considered helps in gathering complete data, reducing the risk of missing critical information. Bias Reduction: By accounting for all possibilities, researchers can minimize selection and classification biases. Improved Analysis: Comprehensive categorization allows for more nuanced and accurate statistical analysis.
