What technique is used to identify related subgroups within data to find relationships between variables?

Stratification is a technique used to identify related subgroups within data, which helps in finding relationships between variables. By dividing data into distinct layers or groups based on certain characteristics or criteria, analysts can observe trends, patterns, and associations that might be obscured when examining the data as a whole. This method is particularly useful in understanding how different factors interact or influence the results within each subgroup, thereby enhancing insights and guiding more targeted decision-making.

For instance, in a manufacturing context, stratification might involve breaking down production data by different shifts, processes, or product lines. This allows for a more detailed analysis of where issues might arise or where improvements can be made. The focus on subgroups leads to richer analysis and a better understanding of variances that are associated with specific segments of the data.

This methodology is crucial in quality improvement initiatives, as it informs teams about how variations exist across different groups, facilitating targeted interventions based on empirical evidence drawn from the stratified data analysis.