I want to search



Quality control is highly dependent on the data collection methodology, but there are some general practices that can be applied

Missing values in a data set should be standardized for identification by the consistent use of well-defined missing value codes in data tables

Problematic data should be flagged to indicate known issues so potential users are aware the limitations of the data.

Use consistent coding schemes.

Plain Text DocumentWord Document
Subscribe to coding