Several strategies can be employed to manage data variability:
Standardization: Using standardized methods for data collection and measurement can reduce measurement variability. Stratification: Analyzing data within subgroups can help control for inter-individual variability. Adjustment: Statistical techniques like regression analysis can adjust for confounding variables. Repeated Measures: Collecting multiple measurements over time can help account for intra-individual variability.
