Researchers employ several strategies to handle inconsistent data, such as:
Replication Studies: Conducting multiple studies or experiments to confirm findings and reduce variability. Meta-Analysis: Combining data from multiple studies to identify trends and minimize inconsistencies. Standardization: Implementing uniform protocols and guidelines to ensure consistency across different studies. Data Cleaning: Identifying and correcting errors or outliers in the dataset to improve its reliability.
