Survey Quality Control (QC/QA), Validity Auditing and Data Verification
Teaches how to verify survey data through consistency checks, back-checks and supervisor mechanisms, and how to standardize validity decisions.
Training content
- Form checks
- Consistency and logic checks
- Fake data risks
- Back-check (call-back)
- Controller mechanism
- Valid/suspicious/invalid classification standards
At the end of this training, participants
- Will be able to detect quality issues in survey forms at an early stage.
- Will be able to systematically weed out erroneous data entries through consistency and logic checks.
- Will be able to recognize fake data risks and apply verification mechanisms (call-backs, control sampling, etc.).
- Will be able to ensure auditability by documenting validity decisions with a standard classification.
- Will be able to measure the performance of field teams and identify areas for improvement by producing quality reports.
This will ensure that only reliable data is passed on to the analysis process.