Researchers can employ several strategies to manage and mitigate inconsistencies:
Meta-Analysis: Combining data from multiple studies can help identify overall trends and reduce the impact of outliers. Sensitivity Analysis: Testing the robustness of results by varying key assumptions and parameters. Standardized Protocols: Using consistent methodologies and measurement tools across studies. Data Quality: Ensuring high-quality data collection and minimizing errors. Transparent Reporting: Providing detailed descriptions of study methods and potential limitations.
