![]() ![]() The Effect of Selection Bias on Data Quality You can increase the quality of your data by avoiding these 4 poor data contributors: 1. The assumption is that more responses leads to more accurate conclusions. Causes of Poor Data Quality and How to Avoid ThemĪll too often survey creators are focused on the quantity of responses rather than the quality of the response. ![]() Are you tired of your survey results not being acted on? Despite having put a lot of time and effort into your survey project and getting buy in from stake holders early in the process, no one is taking your results seriously.Ĭould it be that your data quality is suspect? If so, it is wise not to act on the data.īad data leads to bad decisions.
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