I will audit your survey data for errors and data quality issues

Are you unsure whether your survey dataset is ready for analysis?

I will audit your survey data for errors, inconsistencies, missing information and other data-quality problems before you proceed with analysis.

I can check for:

• Duplicate records
• Missing values
• Invalid or out-of-range values
• Inconsistent responses
• Skip-pattern violations
• Coding inconsistencies
• Potential outliers
• Variable and value-label issues
• Logical inconsistencies
• Other potential data-quality concerns

The audit can result in a structured quality report showing:

Issue Variable Affected records Severity Recommended action

Where included in your package, I can also clean the dataset and provide documentation of the changes made.

Why perform a data-quality audit?

Poor-quality data can affect statistical analysis, programme reporting and research conclusions. A quality review before analysis can help identify problems while they are still possible to investigate and correct.

Suitable for

• Survey datasets
• Research studies
• NGO and development programmes
• Monitoring datasets
• Academic research
• Business surveys