Control Charts as a Tool for Data Quality Control
Carl E. Pierchala, Jyoti Surti
Control-charting has been successfully applied to two National Highway Traffic Safety Administration data systems to help control and thus assure the quality of their data. This article describes the methods used, illustrates the approach through various examples, and discusses various technical issues in applying control charts to these traffic safety data. The article also explains the rationale of the methods in terms of the logic of statistical process control. Finally, an example of nonrandomly missing data is given.
Data quality assurance, data quality improvement, motor vehicle traffic safety data, statistical process control, hierarchical data, nonrandomly missing data, nonindependent observations