What term refers to the process of normalizing data across studies?

The term that refers to the process of normalizing data across studies is meta-analysis. This method involves systematically combining results from multiple independent studies to arrive at a comprehensive understanding of a research question. In this context, normalizing data is crucial because it allows for the integration of findings from studies that may have used different methodologies, sample sizes, or measurement tools. By employing statistical techniques, meta-analysis enables researchers to account for these variations and synthesize the overall effects observed across different investigations. This process enhances the reliability of conclusions drawn from the aggregated data and provides a clearer picture of evidence-based practices.