This analysis describes the characteristics of your sample and examines the distribution of data. If the value remains ambiguous it becomes missing data. If you continue to be suspicious that the value is not accurate, and it is possible, check with another data source, such as the medical notes or the volunteer. Once you have found any errors you will need to return to your data collection form to check the correct value. The precise methods of using computer software to undertake these checks are not covered in this text refer to the manuals of the software you are using. To do these checks use scatter plots to spot outliers, filter tools to spot erroneous categorical codes and audit tools to check validation rules are met and frequency tables can also be useful to highlight mistakes. For dates make sure you know what format is in use and if possible change it to one where there is no ambiguity, for example 10th December 2007 rather than 12/10/07.
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