Several factors can compromise data integrity, including: 1. Data Entry Errors: Mistakes made during manual data input can introduce inaccuracies. 2. Inconsistent Data Collection Methods: Variations in data collection techniques can lead to inconsistencies. 3. Biased Sampling: Non-random sampling methods can produce biased data. 4. Data Manipulation: Intentional or unintentional alteration of data can affect its reliability. 5. Lack of Standardization: Absence of standardized protocols can lead to variability in data.
