Ensuring data reliability involves several steps. Standardizing data collection procedures and using validated instruments can minimize variability. Training data collectors and performing regular audits can help maintain consistency. Moreover, employing robust data management practices, such as double data entry and automated error-checking algorithms, can further enhance reliability.
