Consistency checks are crucial for several reasons:
1. Data Quality: Ensuring high-quality data is fundamental to producing valid and reliable results. Inconsistent data can lead to incorrect conclusions, affecting public health policies and interventions. 2. Error Detection: Identifying and correcting errors early in the data collection process can prevent the propagation of mistakes, saving time and resources. 3. Credibility: High-quality, consistent data enhances the credibility of research findings and increases the likelihood of publication in reputable journals.
