Data Gap Impacts Analysis And Decision-Making
The absence of data for entities with scores between 8 and 10 limits the accuracy and completeness of the analysis. Potential reasons for this data gap include errors in data collection or sampling biases. The missing data impacts decision-making, leading to biased or incomplete outcomes. To address this gap, future studies should adjust data collection…