Several factors can compromise data quality in epidemiological research:
- Human Error: Mistakes during data collection or entry. - Instrumental Errors: Inaccuracies due to faulty measurement tools. - Sampling Bias: Non-representative samples leading to skewed data. - Data Missingness: Incomplete datasets due to non-response or dropout. - Data Misclassification: Incorrect categorization of variables.
