Reducing quantitative data errors: tips for clinical researchers

Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful plann...

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Bibliographic Details
Published in:Applied nursing research 2004-05, Vol.17 (2), p.125-129
Main Authors: Schneider, Joanne Kraenzle, Deenan, Aporn
Format: Article
Language:English
Subjects:
Clinical Nursing Research - methods
Clinical Nursing Research - standards
Data Collection - methods
Data Collection - standards
Humans
Nursing
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Summary:Data errors, or missing and inaccurate data, can compromise research findings. Steps can be taken before and during data collection, as well as during data entry that will minimize data errors. The purpose of this article is to discuss ways to reduce quantitative data errors through thoughtful planning of the data collection form, careful reviewing of completed data forms in the field and laboratory, and consideration of accurate and efficient data entry with thorough verification methods. Clinical researchers are provided with tips and examples for reducing data errors.
ISSN:0897-1897
1532-8201
DOI:10.1016/j.apnr.2004.02.001