Several factors can impact the reliability of epidemiological data:
Sampling Methods: The way participants are selected can introduce biases. Measurement Techniques: The accuracy and consistency of data collection tools. Data Collection Procedures: The protocol followed for gathering data can affect its reliability. Respondent Behavior: The honesty and memory of participants can influence data quality. Data Processing: Errors during data entry, coding, and analysis can affect outcomes.
