Data Validation: Ensures the accuracy and consistency of the data collected. Error Identification: Helps in identifying and correcting errors or biases that may have occurred during data collection or analysis. Enhanced Credibility: Increases the credibility of the findings by providing multiple lines of evidence. Comprehensive Analysis: Allows for a more comprehensive analysis by integrating different datasets.
